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Data)/Exploratory_Data_Analysis_(AMEO_DATA).ipynb b/Project - Exploratory Data Analysis (AMEO Data)/Exploratory_Data_Analysis_(AMEO_DATA).ipynb new file mode 100644 index 0000000..4781841 --- /dev/null +++ b/Project - Exploratory Data Analysis (AMEO Data)/Exploratory_Data_Analysis_(AMEO_DATA).ipynb @@ -0,0 +1,5001 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "toc_visible": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# **Exploratory Data Analysis**" + ], + "metadata": { + "id": "G53hLeQ4nttu" + } + }, + { + "cell_type": "markdown", + "source": [ + "## A detailed data description and objective\n", + "objective -> is to understand the relationships among features and the spread of the data\n", + "\n", + "The dataset was released by Aspiring Minds from the Aspiring Mind Employment Outcome 2015 (AMEO). The study is primarily limited only to students with engineering disciplines. The dataset contains the employment outcomes of engineering graduates as dependent variables (Salary, Job Titles, and Job Locations) along with the standardized scores from three different areas – cognitive skills, technical skills and personality skills. The dataset also contains demographic features. The dataset contains around 40 independent variables and 4000 data points. The independent variables are both continuous and categorical in nature. The dataset contains a unique identifier for each candidate. Below mentioned table contains the details for the original dataset. " + ], + "metadata": { + "id": "6vUfRN13oES5" + } + }, + { + "cell_type": "markdown", + "source": [ + 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)\n", 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)\n", 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)\n", + 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3/1/2014 0:00 3/1/2015 0:00 \n", + "\n", + " Designation JobCity Gender DOB 10percentage \\\n", + "0 senior quality engineer Bangalore f 2/19/1990 0:00 84.3 \n", + "1 assistant manager Indore m 10/4/1989 0:00 85.4 \n", + "2 systems engineer Chennai f 8/3/1992 0:00 85.0 \n", + "3 senior software engineer Gurgaon m 12/5/1989 0:00 85.6 \n", + "4 get Manesar m 2/27/1991 0:00 78.0 \n", + "\n", + " ... ComputerScience MechanicalEngg ElectricalEngg TelecomEngg CivilEngg \\\n", + "0 ... -1 -1 -1 -1 -1 \n", + "1 ... -1 -1 -1 -1 -1 \n", + "2 ... -1 -1 -1 -1 -1 \n", + "3 ... -1 -1 -1 -1 -1 \n", + "4 ... -1 -1 -1 -1 -1 \n", + "\n", + " conscientiousness agreeableness extraversion nueroticism \\\n", + "0 0.9737 0.8128 0.5269 1.35490 \n", + "1 -0.7335 0.3789 1.2396 -0.10760 \n", + "2 0.2718 1.7109 0.1637 -0.86820 \n", + "3 0.0464 0.3448 -0.3440 -0.40780 \n", + "4 -0.8810 -0.2793 -1.0697 0.09163 \n", + "\n", + " openess_to_experience \n", + "0 -0.4455 \n", + "1 0.8637 \n", + "2 0.6721 \n", + "3 -0.9194 \n", + "4 -0.1295 \n", + "\n", + "[5 rows x 39 columns]" + ], + "text/html": [ + "\n", + "
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1train579905500000.09/1/2013 0:00presentassistant managerIndorem10/4/1989 0:0085.4...-1-1-1-1-1-0.73350.37891.2396-0.107600.8637
2train810601325000.06/1/2014 0:00presentsystems engineerChennaif8/3/1992 0:0085.0...-1-1-1-1-10.27181.71090.1637-0.868200.6721
3train2674471100000.07/1/2011 0:00presentsenior software engineerGurgaonm12/5/1989 0:0085.6...-1-1-1-1-10.04640.3448-0.3440-0.40780-0.9194
4train343523200000.03/1/2014 0:003/1/2015 0:00getManesarm2/27/1991 0:0078.0...-1-1-1-1-1-0.8810-0.2793-1.06970.09163-0.1295
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IDSalary10percentage12graduation12percentageCollegeIDCollegeTiercollegeGPACollegeCityIDCollegeCityTier...ComputerScienceMechanicalEnggElectricalEnggTelecomEnggCivilEnggconscientiousnessagreeablenessextraversionnueroticismopeness_to_experience
count3.998000e+033.998000e+033998.0000003998.0000003998.0000003998.0000003998.0000003998.0000003998.0000003998.000000...3998.0000003998.0000003998.0000003998.0000003998.0000003998.0000003998.0000003998.0000003998.0000003998.000000
mean6.637945e+053.076998e+0577.9254432008.08754474.4663665156.8514261.92571371.4861715156.8514260.300400...90.74237122.97473716.47873931.8511762.683842-0.0378310.1464960.002763-0.169033-0.138110
std3.632182e+052.127375e+059.8501621.65359910.9999334802.2614820.2622708.1673384802.2614820.458489...175.27308398.12331187.585634104.85284536.6585051.0286660.9417820.9514711.0075801.008075
min1.124400e+043.500000e+0443.0000001995.00000040.0000002.0000001.0000006.4500002.0000000.000000...-1.000000-1.000000-1.000000-1.000000-1.000000-4.126700-5.781600-4.600900-2.643000-7.375700
25%3.342842e+051.800000e+0571.6800002007.00000066.000000494.0000002.00000066.407500494.0000000.000000...-1.000000-1.000000-1.000000-1.000000-1.000000-0.713525-0.287100-0.604800-0.868200-0.669200
50%6.396000e+053.000000e+0579.1500002008.00000074.4000003879.0000002.00000071.7200003879.0000000.000000...-1.000000-1.000000-1.000000-1.000000-1.0000000.0464000.2124000.091400-0.234400-0.094300
75%9.904800e+053.700000e+0585.6700002009.00000082.6000008818.0000002.00000076.3275008818.0000001.000000...-1.000000-1.000000-1.000000-1.000000-1.0000000.7027000.8128000.6720000.5262000.502400
max1.298275e+064.000000e+0697.7600002013.00000098.70000018409.0000002.00000099.93000018409.0000001.000000...715.000000623.000000676.000000548.000000516.0000001.9953001.9048002.5354003.3525001.822400
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8 rows × 27 columns

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11 12graduation 3998 non-null int64 \n", + " 12 12percentage 3998 non-null float64\n", + " 13 12board 3998 non-null object \n", + " 14 CollegeID 3998 non-null int64 \n", + " 15 CollegeTier 3998 non-null int64 \n", + " 16 Degree 3998 non-null object \n", + " 17 Specialization 3998 non-null object \n", + " 18 collegeGPA 3998 non-null float64\n", + " 19 CollegeCityID 3998 non-null int64 \n", + " 20 CollegeCityTier 3998 non-null int64 \n", + " 21 CollegeState 3998 non-null object \n", + " 22 GraduationYear 3998 non-null int64 \n", + " 23 English 3998 non-null int64 \n", + " 24 Logical 3998 non-null int64 \n", + " 25 Quant 3998 non-null int64 \n", + " 26 Domain 3998 non-null float64\n", + " 27 ComputerProgramming 3998 non-null int64 \n", + " 28 ElectronicsAndSemicon 3998 non-null int64 \n", + " 29 ComputerScience 3998 non-null int64 \n", + " 30 MechanicalEngg 3998 non-null int64 \n", + " 31 ElectricalEngg 3998 non-null int64 \n", + " 32 TelecomEngg 3998 non-null int64 \n", + " 33 CivilEngg 3998 non-null int64 \n", + " 34 conscientiousness 3998 non-null float64\n", + " 35 agreeableness 3998 non-null float64\n", + " 36 extraversion 3998 non-null float64\n", + " 37 nueroticism 3998 non-null float64\n", + " 38 openess_to_experience 3998 non-null float64\n", + "dtypes: float64(10), int64(17), object(12)\n", + "memory usage: 1.2+ MB\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "##Univariate Analysis -> PDF, Histograms, Boxplots, Countplots, etc..\n", + "- Find the outliers in each numerical column\n", + "- Understand the probability and frequency distribution of each numerical column\n", + "- Understand the frequency distribution of each categorical Variable/Column\n", + "- Mention observations after each plot." + ], + "metadata": { + "id": "wurW_IOirddh" + } + }, + { + "cell_type": "code", + "source": [ + "# outliers in each numerical column\n", + "num_df= df.select_dtypes(include=['int64','float64'])\n", + "num_df.columns" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Xb3MVB0Lrf84", + "outputId": "6d05419a-5841-442e-da2e-a33a54594251" + }, + "execution_count": 137, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['ID', 'Salary', '10percentage', '12graduation', '12percentage',\n", + " 'CollegeID', 'CollegeTier', 'collegeGPA', 'CollegeCityID',\n", + " 'CollegeCityTier', 'GraduationYear', 'English', 'Logical', 'Quant',\n", + " 'Domain', 'ComputerProgramming', 'ElectronicsAndSemicon',\n", + " 'ComputerScience', 'MechanicalEngg', 'ElectricalEngg', 'TelecomEngg',\n", + " 'CivilEngg', 'conscientiousness', 'agreeableness', 'extraversion',\n", + " 'nueroticism', 'openess_to_experience'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 137 + } + ] + }, + { + "cell_type": "code", + "source": [ + "#to remove ID,CollegeID,CollegeTier,CollegeCityID,CollegeCityTier columns as we wont check outlier for it\n", + "num_df= num_df.drop(columns=['ID','CollegeID','CollegeTier','CollegeCityID','CollegeCityTier'])\n", + "num_df.columns" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "cGA6bVzVr1v5", + "outputId": "70cb7a83-85ad-4840-a343-ef418f7a3053" + }, + "execution_count": 138, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['Salary', '10percentage', '12graduation', '12percentage', 'collegeGPA',\n", + " 'GraduationYear', 'English', 'Logical', 'Quant', 'Domain',\n", + " 'ComputerProgramming', 'ElectronicsAndSemicon', 'ComputerScience',\n", + " 'MechanicalEngg', 'ElectricalEngg', 'TelecomEngg', 'CivilEngg',\n", + " 'conscientiousness', 'agreeableness', 'extraversion', 'nueroticism',\n", + " 'openess_to_experience'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 138 + } + ] + }, + { + "cell_type": "code", + "source": [ + "num_df.plot(kind='box',subplots=True,layout=(5,5),figsize=(30,30))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "RbT-jutwuMBr", + "outputId": "721217ac-eb31-46ee-ab52-ad9bceae0f9c" + }, + "execution_count": 139, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Salary Axes(0.125,0.747241;0.133621x0.132759)\n", + "10percentage Axes(0.285345,0.747241;0.133621x0.132759)\n", + "12graduation Axes(0.44569,0.747241;0.133621x0.132759)\n", + "12percentage Axes(0.606034,0.747241;0.133621x0.132759)\n", + "collegeGPA Axes(0.766379,0.747241;0.133621x0.132759)\n", + "GraduationYear Axes(0.125,0.587931;0.133621x0.132759)\n", + "English Axes(0.285345,0.587931;0.133621x0.132759)\n", + "Logical Axes(0.44569,0.587931;0.133621x0.132759)\n", + "Quant Axes(0.606034,0.587931;0.133621x0.132759)\n", + "Domain Axes(0.766379,0.587931;0.133621x0.132759)\n", + "ComputerProgramming Axes(0.125,0.428621;0.133621x0.132759)\n", + "ElectronicsAndSemicon Axes(0.285345,0.428621;0.133621x0.132759)\n", + "ComputerScience Axes(0.44569,0.428621;0.133621x0.132759)\n", + "MechanicalEngg Axes(0.606034,0.428621;0.133621x0.132759)\n", + "ElectricalEngg Axes(0.766379,0.428621;0.133621x0.132759)\n", + "TelecomEngg Axes(0.125,0.26931;0.133621x0.132759)\n", + "CivilEngg Axes(0.285345,0.26931;0.133621x0.132759)\n", + "conscientiousness Axes(0.44569,0.26931;0.133621x0.132759)\n", + "agreeableness Axes(0.606034,0.26931;0.133621x0.132759)\n", + "extraversion Axes(0.766379,0.26931;0.133621x0.132759)\n", + "nueroticism Axes(0.125,0.11;0.133621x0.132759)\n", + "openess_to_experience Axes(0.285345,0.11;0.133621x0.132759)\n", + "dtype: object" + ] + }, + "metadata": {}, + "execution_count": 139 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#lets check if we got some null values in these column\n", + "num_df.isnull().sum().sort_values(ascending=True)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "UOkZugUcvwLd", + "outputId": "8c262393-7efe-4151-866a-5751f85adde8" + }, + "execution_count": 140, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Salary 0\n", + "extraversion 0\n", + "agreeableness 0\n", + "conscientiousness 0\n", + "CivilEngg 0\n", + "TelecomEngg 0\n", + "ElectricalEngg 0\n", + "MechanicalEngg 0\n", + "ComputerScience 0\n", + "ElectronicsAndSemicon 0\n", + "ComputerProgramming 0\n", + "Domain 0\n", + "Quant 0\n", + "Logical 0\n", + "English 0\n", + "GraduationYear 0\n", + "collegeGPA 0\n", + "12percentage 0\n", + "12graduation 0\n", + "10percentage 0\n", + "nueroticism 0\n", + "openess_to_experience 0\n", + "dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 140 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Salary column" + ], + "metadata": { + "id": "WnLnjyQ50Thj" + } + }, + { + "cell_type": "code", + "source": [ + "df['Salary'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Uq2lPuoyvYWt", + "outputId": "9f56a44b-ab9f-46bd-db48-cef3bccb50e3" + }, + "execution_count": 141, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "307699.8499249625" + ] + }, + "metadata": {}, + "execution_count": 141 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['Salary'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jHAJmMXhvhhW", + "outputId": "5712a567-1ff4-4b19-a3e9-d24b81a02178" + }, + "execution_count": 142, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "300000.0" + ] + }, + "metadata": {}, + "execution_count": 142 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "mean and median are that close there is a gap of 7,699 which means we may have some outliers" + ], + "metadata": { + "id": "-BnCY_zhvjll" + } + }, + { + "cell_type": "code", + "source": [ + "print(df['Salary'].quantile(0.25))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "gIhsHUoBwHlB", + "outputId": "091d0a4f-f06b-4730-a027-058e268f11cc" + }, + "execution_count": 143, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "180000.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(df['Salary'].quantile(0.75))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "CrXZ4gR2wWvR", + "outputId": "8b4dfa13-dc69-4091-a43a-7820185e51ae" + }, + "execution_count": 144, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "370000.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "num_df['Salary'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 462 + }, + "id": "sjOmTWtgu-Pu", + "outputId": "e7ae78e8-8e02-4f0c-d733-096cfcb3d03c" + }, + "execution_count": 145, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 145 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "we have got many outliers here" + ], + "metadata": { + "id": "PqWHXYbiwhZM" + } + }, + { + "cell_type": "code", + "source": [ + "#removing outliers using IQR\n", + "q1= df['Salary'].quantile(0.25)\n", + "q3= df['Salary'].quantile(0.75)\n", + "IQR=q3-q1\n", + "Salary_lower_bound=q1-1.5*IQR\n", + "Salary_upper_bound=q3+1.5*IQR\n", + "clean_df=df[(df['Salary']>=Salary_lower_bound)& (df['Salary']<=Salary_upper_bound)]\n", + "clean_df['Salary'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "5c-BvdQwwpYI", + "outputId": "86aa1d3c-b442-4c6e-9cbd-24013861b411" + }, + "execution_count": 146, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 146 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# we can still see some outliers above 600000 lets remove them\n", + "clean_df=df[df.Salary<=600000]\n", + "clean_df['Salary'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "aAPqTjs1ycoo", + "outputId": "fb5499a5-21f0-4111-a955-261a5af2916b" + }, + "execution_count": 147, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 147 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#normal distribution of Salary via hist\n", + "clean_df['Salary'].plot(kind='hist')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "YdKEr5t4x8Aw", + "outputId": "10245c0a-4c13-4a71-c893-6fc000687faf" + }, + "execution_count": 148, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 148 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#normal distribution of Salary via kernel distribution\n", + "clean_df['Salary'].plot(kind='kde')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 462 + }, + "id": "VG38_Apgyz6F", + "outputId": "3b952209-dc58-4954-869c-45f8c12a285d" + }, + "execution_count": 149, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 149 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observations in Salary numerical column**\n", + "\n", + "\n", + "1. we removed outliers via IQR and clipping , clipping is used as we still got a right tail because of the values greater than 600000\n", + "2. Then we got a normal distribution apart from the dent\n", + "\n", + "\n" + ], + "metadata": { + "id": "yOIYTGzPzeS_" + } + }, + { + "cell_type": "markdown", + "source": [ + "### 10percentage column" + ], + "metadata": { + "id": "C9kiS3K60bZx" + } + }, + { + "cell_type": "code", + "source": [ + "df['10percentage'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "IQS4ehJ60dit", + "outputId": "7ab638f5-c164-456b-9b76-17396b790bf9" + }, + "execution_count": 150, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "77.9254427213607" + ] + }, + "metadata": {}, + "execution_count": 150 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['10percentage'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "RVlkq5110i3M", + "outputId": "7d65e261-df37-456a-f35d-2044b6f0d9d0" + }, + "execution_count": 151, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "79.15" + ] + }, + "metadata": {}, + "execution_count": 151 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "mean and median are close they may not be much outliers" + ], + "metadata": { + "id": "g33b7N9y1BAz" + } + }, + { + "cell_type": "code", + "source": [ + "print(df['10percentage'].quantile(0.25))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MQI_B6kI0pfz", + "outputId": "c0af9d7d-7661-4745-ac54-7a4befe5080e" + }, + "execution_count": 152, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "71.68\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(df['10percentage'].quantile(0.75))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "i7MGv2P00tDa", + "outputId": "5588fb46-43e9-475e-ea71-2c1e40007826" + }, + "execution_count": 153, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "85.67\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "num_df['10percentage'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 449 + }, + "id": "pf3aVJKy0xC2", + "outputId": "2aaa8c4d-574f-4245-b38d-70c9542cc786" + }, + "execution_count": 154, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 154 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "we can see the outliers which are below 50 lets remove them by clipping " + ], + "metadata": { + "id": "pwUUMOLG1NRV" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df=clean_df[clean_df['10percentage']>=50]\n", + "clean_df['10percentage'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "7UIhfTQj03Gx", + "outputId": "183de098-a283-49ef-97d2-978fab8debe5" + }, + "execution_count": 155, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 155 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "we can see much less outliers now" + ], + "metadata": { + "id": "aWvo6ElL2GJV" + } + }, + { + "cell_type": "code", + "source": [ + "#normal distribution of 10percentage via hist\n", + "clean_df['10percentage'].plot(kind='hist')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "fnl1-k5X2M6H", + "outputId": "307cf049-4647-4b8d-bd0e-9af15b77518f" + }, + "execution_count": 156, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 156 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#removing outliers using IQR\n", + "q1= clean_df['10percentage'].quantile(0.25)\n", + "q3= clean_df['10percentage'].quantile(0.75)\n", + "IQR=q3-q1\n", + "percentage10_lower_bound=q1-1.5*IQR\n", + "percentage10_upper_bound=q3+1.5*IQR\n", + "clean_df=clean_df[(clean_df['10percentage']>=percentage10_lower_bound)& (clean_df['10percentage']<=percentage10_upper_bound)]\n", + "clean_df['10percentage'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "uv8qPYh-2iVi", + "outputId": "1deb672a-5d7c-4099-af1f-cc853c3aafc7" + }, + "execution_count": 157, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 157 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#normal distribution of 10percentage via hist\n", + "clean_df['10percentage'].plot(kind='hist')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "ORIIa34k25j8", + "outputId": "cdd1c6f2-3f2b-4720-bc1b-8368e4a77c22" + }, + "execution_count": 158, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 158 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "we got left tail" + ], + "metadata": { + "id": "vB9tMXTj4G6b" + } + }, + { + "cell_type": "markdown", + "source": [ + "**observations in 10percentage column**\n", + "\n", + "1. outliers are removed ( below 50% )\n", + "2. the percentage range after removal of outliers is approx(50%) - 100%\n", + "3. we got left tail due to less amount of people with that percentage\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "p4g_A1PBOPxH" + } + }, + { + "cell_type": "markdown", + "source": [ + "### 12graduation column" + ], + "metadata": { + "id": "XvN3vQh5PPrl" + } + }, + { + "cell_type": "code", + "source": [ + "df['12graduation'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "HfAQcc6QPS5f", + "outputId": "8a98e35e-7de8-4c33-b688-5cb770a87d28" + }, + "execution_count": 159, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "2008.087543771886" + ] + }, + "metadata": {}, + "execution_count": 159 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['12graduation'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2EcwInN-Pd9e", + "outputId": "14b30026-518a-486d-b489-effb68e4bac9" + }, + "execution_count": 160, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "2008.0" + ] + }, + "metadata": {}, + "execution_count": 160 + } + ] + }, + { + "cell_type": "code", + "source": [ + "num_df['12graduation'].plot(kind='hist')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "s3is-d3lPnwK", + "outputId": "f9c354b2-1bf6-4d2e-c3bc-1b8acecde808" + }, + "execution_count": 161, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 161 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "we can see clearly that 2008 is the year in which most people graduated " + ], + "metadata": { + "id": "yrP-UEC_QaHz" + } + }, + { + "cell_type": "markdown", + "source": [ + "### 12 percentage column" + ], + "metadata": { + "id": "8Lz-QURlQqtE" + } + }, + { + "cell_type": "code", + "source": [ + "df['12percentage'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ZUMxCL9cQvNL", + "outputId": "c2b029fb-fa5d-44f3-d5b7-ca8090cb0446" + }, + "execution_count": 162, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "74.46636568284141" + ] + }, + "metadata": {}, + "execution_count": 162 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['12percentage'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dSki3QB9Q4TR", + "outputId": "7186fe49-c89e-47ed-ecf1-1fe1773b895c" + }, + "execution_count": 163, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "74.4" + ] + }, + "metadata": {}, + "execution_count": 163 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "mean and median are close there may not be outliers " + ], + "metadata": { + "id": "x_MBohyERCCS" + } + }, + { + "cell_type": "code", + "source": [ + "print(df['12percentage'].quantile(0.25))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ai88efgnQ66z", + "outputId": "00036090-67e4-45f3-bb8c-bd22464819c3" + }, + "execution_count": 164, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "66.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(df['12percentage'].quantile(0.75))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5awmpVtEQ9Nr", + "outputId": "42a3cfc4-1fe7-4ab9-e0af-cc01253b9ad8" + }, + "execution_count": 165, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "82.6\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "num_df['12percentage'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "gn803gGRQ_lI", + "outputId": "c98555ee-5e0f-4371-8c1c-99cfbdc4e303" + }, + "execution_count": 166, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 166 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#normal distribution of 12percentage via hist\n", + "clean_df['12percentage'].plot(kind='hist')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "kUhDIGimRnSn", + "outputId": "28d73861-113d-4d67-b4f5-a019dd17e571" + }, + "execution_count": 167, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 167 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observations in 12percentage column**\n", + "\n", + "\n", + "1. there arent any outliers which make a significant distribution\n", + "2. the distribution is normal without any removal of outliers\n", + "\n" + ], + "metadata": { + "id": "B59vhGDvRNm1" + } + }, + { + "cell_type": "markdown", + "source": [ + "### collegeGPA column" + ], + "metadata": { + "id": "5eocFbR-R_xQ" + } + }, + { + "cell_type": "code", + "source": [ + "df['collegeGPA'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "IC4wSwwESC3h", + "outputId": "a819c7b9-4534-4fff-d368-24fc154cfe70" + }, + "execution_count": 168, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "71.48617058529265" + ] + }, + "metadata": {}, + "execution_count": 168 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['collegeGPA'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8E-xqbBbSIP5", + "outputId": "c9a1d76d-7e46-417c-dea7-b092637ab6e7" + }, + "execution_count": 169, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "71.72" + ] + }, + "metadata": {}, + "execution_count": 169 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "mean and median arent that close there may be outliers" + ], + "metadata": { + "id": "nL9pzanaSZ1m" + } + }, + { + "cell_type": "code", + "source": [ + "print(df['collegeGPA'].quantile(0.25))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "VMALNvXxSMAO", + "outputId": "0318e840-ba6e-4197-9998-74dd9cb9885a" + }, + "execution_count": 170, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "66.4075\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(df['collegeGPA'].quantile(0.75))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "d8TwQbapSObQ", + "outputId": "f7912403-788e-40a6-8257-aea982380f90" + }, + "execution_count": 171, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "76.3275\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "num_df['collegeGPA'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "wOI4p8ArSRU7", + "outputId": "dc089513-690d-4bb2-9d89-b1871781c813" + }, + "execution_count": 172, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 172 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "lets try to remove these outliers using IQR" + ], + "metadata": { + "id": "hIqKsnRXSrk2" + } + }, + { + "cell_type": "code", + "source": [ + "#removing outliers using IQR\n", + "q1= clean_df['collegeGPA'].quantile(0.25)\n", + "q3= clean_df['collegeGPA'].quantile(0.75)\n", + "IQR=q3-q1\n", + "collegeGPA_lower_bound=q1-1.5*IQR\n", + "collegeGPA_upper_bound=q3+1.5*IQR\n", + "clean_df=clean_df[(clean_df['collegeGPA']>=collegeGPA_lower_bound)& (clean_df['collegeGPA']<=collegeGPA_upper_bound)]\n", + "clean_df['collegeGPA'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "MpFsy1wPS3d6", + "outputId": "f4a7cf8f-b728-454b-ebee-155ec926771c" + }, + "execution_count": 173, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 173 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#normal distribution of collegeGPA via hist\n", + "clean_df['collegeGPA'].plot(kind='hist')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "BedHBGz5TcHK", + "outputId": "248826e9-2c51-4154-ac52-f8782afa9cde" + }, + "execution_count": 174, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 174 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observations in collegeGPA column**\n", + "\n", + "\n", + "1. outliers are removed using IQR method\n", + "2. we can see normal distribution via hist graph\n", + "3. college gpa range is reduced to 55-90(approx) from 0-100 as we removed outliers\n", + "\n" + ], + "metadata": { + "id": "0hNV2ShFU4jS" + } + }, + { + "cell_type": "markdown", + "source": [ + "### English, Logical, Quant, Domain columns" + ], + "metadata": { + "id": "TGeFZctpc8z1" + } + }, + { + "cell_type": "code", + "source": [ + "df['English'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LP-WpfLbdBsJ", + "outputId": "accaadb6-03d1-4a30-aef0-2b4b5378ebf1" + }, + "execution_count": 175, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "501.64907453726863" + ] + }, + "metadata": {}, + "execution_count": 175 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['Logical'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "h4ies_xfieRG", + "outputId": "98d838b1-d371-4363-be37-7ed9d9f31263" + }, + "execution_count": 176, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "501.59879939969983" + ] + }, + "metadata": {}, + "execution_count": 176 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['Quant'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "IdQBFVnoiimt", + "outputId": "b21c87f7-ba76-404e-ee92-5e2f3c6af0c7" + }, + "execution_count": 177, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "513.3781890945472" + ] + }, + "metadata": {}, + "execution_count": 177 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['Domain'].mean()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3LnW58Nain_6", + "outputId": "ad574328-6ccd-4e13-bcb6-0fd9d3c29dd1" + }, + "execution_count": 178, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "0.5104896530075439" + ] + }, + "metadata": {}, + "execution_count": 178 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['English'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "zEf3NAfKdJt2", + "outputId": "c3e7f9ad-0496-4177-f87f-6094c68c9087" + }, + "execution_count": 179, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "500.0" + ] + }, + "metadata": {}, + "execution_count": 179 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['Logical'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hfObm3OkitzW", + "outputId": "0072bc9e-e291-424d-beb1-3c70958cb286" + }, + "execution_count": 180, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "505.0" + ] + }, + "metadata": {}, + "execution_count": 180 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['Quant'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Bf_c8ov9iufQ", + "outputId": "22cec125-bec1-47fe-cd7a-9a66d0c655ba" + }, + "execution_count": 181, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "515.0" + ] + }, + "metadata": {}, + "execution_count": 181 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['Domain'].median()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "nAjC9Z2aiwPs", + "outputId": "6bce5a5c-6cce-45ea-e5a4-db9ff87137a6" + }, + "execution_count": 182, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "0.622642915849938" + ] + }, + "metadata": {}, + "execution_count": 182 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "mean and median of english are close the outliers may be less\n", + "mean and median of logical,Quant,Domain arent close the outliers may be more" + ], + "metadata": { + "id": "UerRb6zafBAL" + } + }, + { + "cell_type": "code", + "source": [ + "print(df['English'].quantile(0.25))\n", + "print(df['Logical'].quantile(0.25))\n", + "print(df['Quant'].quantile(0.25))\n", + "print(df['Domain'].quantile(0.25))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TvSXFWVldOmx", + "outputId": "e6a127f6-81c7-46df-b21f-74b11c6a4a2e" + }, + "execution_count": 183, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "425.0\n", + "445.0\n", + "430.0\n", + "0.342314899911815\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(df['English'].quantile(0.75))\n", + "print(df['Logical'].quantile(0.75))\n", + "print(df['Quant'].quantile(0.75))\n", + "print(df['Domain'].quantile(0.75))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qLssQVwfdQ_k", + "outputId": "fce07574-8a5e-411a-b891-4dbd674014aa" + }, + "execution_count": 184, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "570.0\n", + "565.0\n", + "595.0\n", + "0.842248322257836\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df4 = pd.DataFrame(df, columns=['English','Logical','Quant','Domain'])\n", + "df4.plot(kind='box',subplots=True,layout=(6,6),figsize=(30,30))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 458 + }, + "id": "2wL6bH_3dTOP", + "outputId": "ba8133f6-8e81-48cf-e054-4c0ef00bb97f" + }, + "execution_count": 185, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "English Axes(0.125,0.77;0.110714x0.11)\n", + "Logical Axes(0.257857,0.77;0.110714x0.11)\n", + "Quant Axes(0.390714,0.77;0.110714x0.11)\n", + "Domain Axes(0.523571,0.77;0.110714x0.11)\n", + "dtype: object" + ] + }, + "metadata": {}, + "execution_count": 185 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#removing outliers using IQR\n", + "q1= clean_df['English'].quantile(0.25)\n", + "q3= clean_df['English'].quantile(0.75)\n", + "IQR=q3-q1\n", + "English_lower_bound=q1-1.5*IQR\n", + "English_upper_bound=q3+1.5*IQR\n", + "clean_df=clean_df[(clean_df['English']>=English_lower_bound)& (clean_df['English']<=English_upper_bound)]\n", + "clean_df['English'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "2Zvfe557lFEI", + "outputId": "9967a738-a457-4524-db30-f898e8df0d4b" + }, + "execution_count": 187, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 187 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#removing outliers using IQR\n", + "q1= clean_df['Logical'].quantile(0.25)\n", + "q3= clean_df['Logical'].quantile(0.75)\n", + "IQR=q3-q1\n", + "Logical_lower_bound=q1-1.5*IQR\n", + "Logical_upper_bound=q3+1.5*IQR\n", + "clean_df=clean_df[(clean_df['Logical']>=Logical_lower_bound)& (clean_df['Logical']<=Logical_upper_bound)]\n", + "clean_df['Logical'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "EVpeaIwPlVkh", + "outputId": "61cb58bc-64f1-43ff-9547-a0f6ecb1566e" + }, + "execution_count": 188, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 188 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#removing outliers using IQR\n", + "q1= clean_df['Quant'].quantile(0.25)\n", + "q3= clean_df['Quant'].quantile(0.75)\n", + "IQR=q3-q1\n", + "Quant_lower_bound=q1-1.5*IQR\n", + "Quant_upper_bound=q3+1.5*IQR\n", + "clean_df=clean_df[(clean_df['Quant']>=Logical_lower_bound)& (clean_df['Quant']<=Quant_upper_bound)]\n", + "clean_df['Quant'].plot(kind='box')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 447 + }, + "id": "7S4Swsyblurd", + "outputId": "0846c9a0-18bf-437f-84eb-8f869a0e868d" + }, + "execution_count": 189, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 189 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "df4_1 = pd.DataFrame(clean_df, columns=['English','Logical','Quant','Domain'])\n", + "df4_1.plot(kind='hist',subplots=True,layout=(6,6),figsize=(30,30))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 741 + }, + "id": "nGpFvzq8mNFY", + "outputId": "d96951ae-c9c2-4f46-9c53-295c8fd381d1" + }, + "execution_count": 195, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([[, ,\n", + " , ,\n", + " , ],\n", + " [, ,\n", + " , ,\n", + " , ],\n", + " [, ,\n", + " , ,\n", + " , ],\n", + " [, ,\n", + " , ,\n", + " , ],\n", + " [, ,\n", + " , ,\n", + " , ],\n", + " [, ,\n", + " , ,\n", + " , ]],\n", + " dtype=object)" + ] + }, + "metadata": {}, + "execution_count": 195 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observations in English,Logical,Quant,Domain columns**\n", + "\n", + "\n", + "1. The distribution of data is normal after removal of outliers wherever required\n", + "2. No left and right tail observed in columns mentioned above\n", + "\n" + ], + "metadata": { + "id": "CJD7jc1tuIPw" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df.plot(kind='kde',subplots=True,figsize=(50,100))\n", + "#num_dfpart1=num_df(columns='')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "NWJHDohGstQJ", + "outputId": "95721688-13a8-433b-be46-3fb5a19319ff" + }, + "execution_count": 198, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([, ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " , ,\n", + " ], dtype=object)" + ] + }, + "metadata": {}, + "execution_count": 198 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Bivariate Analysis\n", + "Discover the relationships between numerical columns using Scatter plots, hexbin plots,\n", + "pair plots, etc..\n", + "- Identify the patterns between categorical and numerical columns using swarmplot,\n", + "boxplot, barplot, etc..\n", + "- Mention observations after each plot." + ], + "metadata": { + "id": "08WVBVLOvjdT" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df.plot(kind='scatter',x='collegeGPA',y='Salary')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 466 + }, + "id": "k2HZ99Y2vreC", + "outputId": "660105a8-683b-4673-fdad-3ecaa4b03dc3" + }, + "execution_count": 199, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 199 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observation**\n", + "\n", + "It looks like we dont have a strong relationship between salary and college GPA" + ], + "metadata": { + "id": "0_sdlaYwykMI" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df.plot(kind='scatter',x='10percentage',y='12percentage')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 466 + }, + "id": "xgtvgmT3y8sl", + "outputId": "f380c125-c97d-4fee-d348-c3e55eb993e3" + }, + "execution_count": 204, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 204 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observation**\n", + "\n", + "it looks like a mediocre relationship between 10th percentage and 12th percentage " + ], + "metadata": { + "id": "FMMAxcfyzCmg" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df['Designation'].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "GiHE0hKa08PS", + "outputId": "a563af55-56fc-4144-ff1a-e153856a2727" + }, + "execution_count": 214, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "software engineer 501\n", + "software developer 246\n", + "system engineer 198\n", + "programmer analyst 130\n", + "systems engineer 113\n", + " ... \n", + "delivery software engineer 1\n", + "graphic designer 1\n", + "sales development manager 1\n", + "visiting faculty 1\n", + "jr. software developer 1\n", + "Name: Designation, Length: 406, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 214 + } + ] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.figure(figsize=(12,10))\n", + "clean_df['Designation'].value_counts()[:15].plot(kind='bar' , width=0.9)\n", + "plt.xlabel('Designation')\n", + "plt.ylabel('Count')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "rBF5xCsw88ht", + "outputId": "f506aa24-7704-479a-e80b-46594b90842a" + }, + "execution_count": 227, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0, 0.5, 'Count')" + ] + }, + "metadata": {}, + "execution_count": 227 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "software engineering is most opted profession as many are employed in that profession" + ], + "metadata": { + "id": "5AuKGQdk-RWU" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df['CollegeTier'].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6FX0hWpO1M8V", + "outputId": "35041e35-8012-42b5-ee2a-559b272aa103" + }, + "execution_count": 215, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "2 3421\n", + "1 241\n", + "Name: CollegeTier, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 215 + } + ] + }, + { + "cell_type": "code", + "source": [ + "clean_df['Degree'].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "uqC6Qnby20Eh", + "outputId": "2a149dd8-2622-416d-ee1e-645d7b873245" + }, + "execution_count": 216, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "B.Tech/B.E. 3400\n", + "MCA 218\n", + "M.Tech./M.E. 42\n", + "M.Sc. (Tech.) 2\n", + "Name: Degree, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 216 + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(12,10))\n", + "clean_df['Degree'].value_counts()[:].plot(kind='bar' , width=0.9)\n", + "plt.xlabel('Degree')\n", + "plt.ylabel('Count')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 941 + }, + "id": "0DJSGS4d-e0x", + "outputId": "d914ac22-203a-4928-fcf3-9c82b15a3de8" + }, + "execution_count": 229, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0, 0.5, 'Count')" + ] + }, + "metadata": {}, + "execution_count": 229 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "B.Tech/B.E is most opted for graduation as many graduated in that particular domain" + ], + "metadata": { + "id": "EGw40rv7-7rH" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(12,10))\n", + "clean_df['Specialization'].value_counts()[:].plot(kind='bar' , width=0.9)\n", + "plt.xlabel('Specialization')\n", + "plt.ylabel('Count')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "NAa6IO68_SOa", + "outputId": "60d9874f-2a07-4c87-f9d8-df4fa8547902" + }, + "execution_count": 230, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0, 0.5, 'Count')" + ] + }, + "metadata": {}, + "execution_count": 230 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "looks like many people are specialised in electronics and communication engineering" + ], + "metadata": { + "id": "fJh-w7Am_bgx" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df['CollegeState'].value_counts()[:].plot(kind='bar' , width=0.9)\n", + "plt.xlabel('College_State')\n", + "plt.ylabel('Count')\n", + "plt.title('College State Distribution')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 615 + }, + "id": "yUX5yG6K_1dN", + "outputId": "caefcfec-970e-43cf-996b-c6cdd99ca4b2" + }, + "execution_count": 231, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'College State Distribution')" + ] + }, + "metadata": {}, + "execution_count": 231 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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5/+OPP77KvtVte6NjrGm297znPdWzsTbccMO88sorq6x77Zltr/XYY4+tsu1vf/tb2rdvXz3LZ4MNNsjy5cvXGol69uyZBx98MJVKpdFrtLq538jrA+Xjjz+eFStWNPq9a9WqVT7zmc9kwoQJ+d73vpdrr712nS5p22OPPbLhhhvml7/8Zb72ta+tdX3Pnj3X+Lqv3L+uttxyy1QqlfTq1avRn83VPWfyr8974MCB1e3Lli3Lk08+2SgcbrnllnnggQeyzz77NOnP5bpaeWZjTU3NWn//AeDdwj2yAOBdYunSpZk0aVLatGlTvTRrv/32y/Lly3PRRRc1WnveeeelRYsW2XfffauPPfLII9OjR49ccMEFmTBhQmbNmpXRo0ev9rlee7xKpZKLLrooNTU12WeffVa7vlWrVhk8eHB+85vfNLqEbdasWbn88suzxx57VC9LWxmNVheMXq9Hjx7p27dv/ud//qca75J/vVvg9OnT1/r45F/36erXr18uvfTSRs/54IMPZtKkSdlvv/2q27bccsvMmTMnf/nLX6rbnn/++VxzzTWrPfaUKVMaXd74zDPP5De/+U0GDx6cVq1apVWrVjnooIPyq1/9Kg8++OAqj589e3b11/vtt1+ee+65XH311dVtCxYsWOMliWsyduzYRh9feOGFSVL9s7DS4Ycfnpdffjn/9V//tcq7Ya5J+/bt85WvfCV//etf85WvfKV6j63Xuuyyy3LPPfdUP6d77rknU6ZMqe6fP39+fvzjH2eLLbZInz591vnzOvDAA9OqVaucfvrpqzxvpVLJP//5zyTJzjvvnC5duuQnP/lJNfwmyS9+8Yu8/PLLjR53yCGH5Nlnn81PfvKTVZ5v4cKF//a7Bnbt2jV77bVXfvSjH+X5559fZf9rf/8B4N3CGVkA8A51ww03VM9ceeGFF3L55Zfnsccey1e/+tVqFPr4xz+egQMH5utf/3qefPLJ7LDDDpk0aVJ+85vfZNSoUdlyyy2TJN/61rdy//335+abb84GG2yQ7bffPqecckq+8Y1v5OCDD24Uc9q2bZsbb7wxw4YNy6677pobbrghEydOzNe+9rU13kto5XNMnjw5e+yxR4477ri0bt06P/rRj7J48eKcddZZ1XX9+vVLq1at8r3vfS9z5sxJbW1t9t5773Tt2nW1x/3Od76TT3ziE9l9991z1FFH5eWXX85FF12Uvn37Nopbb+Tss8/OvvvumwEDBmT48OFZuHBhLrzwwnTs2DGnnXZadd2nPvWpfOUrX8kBBxyQE044IQsWLMjFF1+c97///au9H1ffvn3T0NCQE044IbW1tfnhD3+YJDn99NOra7773e/m1ltvza677pqjjz46ffr0yUsvvZT77rsvv//97/PSSy8l+ddNvi+66KIcccQRmTZtWjbeeOP8/Oc/T/v27dfpc1xpxowZ2X///fPRj340U6ZMyWWXXZbPfOYz2WGHHRqt23HHHdO3b9/qDc932mmndTr+l7/85Tz00EM555xzcuutt+bggw9O9+7dM3PmzFx77bW55557cvfddydJvvrVr+aXv/xl9t1335xwwgnp3LlzLr300syYMSO/+tWv0rLluv8/2S233DLf+ta3cvLJJ+fJJ5/M0KFDs8EGG2TGjBm55pprcswxx+TEE09MmzZtctppp+X444/P3nvvnUMOOSRPPvlkJkyYkC233LLRmVeHH354rrzyynzhC1/Irbfemt133z3Lly/PI488kiuvvDI33XRTo/vUvRljx47NHnvske222y5HH3103vve92bWrFmZMmVK/vGPf+SBBx74t44PAMVpnjdLBADeLuPHj68kafSjbdu2lX79+lUuvvjiyooVKxqtf/XVVyujR4+u9OjRo1JTU1N53/veVzn77LOr66ZNm1Zp3bp15fjjj2/0uGXLllU+8IEPVHr06FF5+eWXK5VKpTJs2LBKXV1d5YknnqgMHjy40r59+0q3bt0qp556amX58uWNHp+kcuqppzbadt9991UaGhoqHTp0qLRv374ycODAyt13373K5/iTn/yk8t73vrfSqlWrSpLKrbfe+oavyf/+7/9WevfuXamtra307du38tvf/rZy0EEHVXr37l1dM2PGjEqSytlnn73aY/z+97+v7L777pV27dpV6uvrKx//+McrDz/88CrrJk2aVOnbt2+lTZs2la233rpy2WWXVU499dTK67/tSlIZMWJE5bLLLqu8733vq9TW1lZ23HHH1X4us2bNqowYMaKy2WabVWpqairdu3ev7LPPPpUf//jHjdY99dRTlf3337/Svn37ynve857KF7/4xcqNN964Tq/RyhkffvjhysEHH1zZYIMNKhtuuGFl5MiRlYULF672MWeddVYlSeU73/nOGx57da6++urK4MGDK507d660bt26svHGG1cOPfTQym233dZo3RNPPFE5+OCDK506daq0bdu2sssuu1Suu+66RmtW/t6NHz9+lc/n9X71q19V9thjj0pdXV2lrq6u0rt378qIESMqjz76aKN1P/jBDyo9e/as1NbWVnbZZZfKXXfdVenfv3/lox/9aKN1S5YsqXzve9+rbLvttpXa2trKhhtuWOnfv3/l9NNPr8yZM2eV5589e/Zq/+yv6fNY+RocccQRle7du1dqamoqm2yySeVjH/tY5eqrr66uWfn3/t57713luADwTtKiUlnNOd0AAG/CkUcemauvvnqdz3RqTv369ctGG22UyZMnN8vzt2jRIiNGjFjlss6SXHDBBRk9enSefPLJbL755s09zttqxYoV2WijjXLggQeu9lJCAOA/wz2yAIB3tKVLlza611GS3HbbbXnggQey1157Nc9Q7wCVSiWXXHJJPvzhD7/jItaiRYtWuY/W//zP/+Sll17yZwYAmpl7ZAEA72jPPvtsBg0alM9+9rPp0aNHHnnkkYwbNy7du3fPF77wheYerzjz58/Pb3/729x6662ZPn16fvOb3zT3SG+5qVOnZvTo0fnkJz+ZLl265L777ssll1ySvn375pOf/GRzjwcA72pCFgDwjrbhhhumf//++elPf5rZs2enrq4uQ4YMyXe/+9106dKluccrzuzZs/OZz3wmnTp1yte+9rXsv//+zT3SW26LLbbIZpttlh/84Ad56aWX0rlz5xxxxBH57ne/mzZt2jT3eADwruYeWQAAAAAUwT2yAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAQMH22muv7LXXXs09BgDAf4SQBQDwHzZ9+vQcfPDB6dmzZ9q2bZtNNtkkH/nIR3LhhRc292gAAOu1FpVKpdLcQwAAvFvcfffdGThwYDbffPMMGzYs3bt3zzPPPJOpU6fmiSeeyOOPP96k4608G+u2225764cFAFjPtG7uAQAA3k2+/e1vp2PHjrn33nvTqVOnRvteeOGF5hnq/1u2bFlWrFiRNm3aNOscAABr4tJCAID/oCeeeCLbbrvtKhErSbp27Vr99fjx47P33nuna9euqa2tTZ8+fXLxxRev9fhLlizJKaeckv79+6djx46pq6vLnnvumVtvvbXRuieffDItWrTI97///Zx//vnZcsstU1tbm3vuuSd1dXX54he/uMqx//GPf6RVq1Y588wzm/6JAwC8BZyRBQDwH9SzZ89MmTIlDz74YPr27bvGdRdffHG23Xbb7L///mndunV+97vf5bjjjsuKFSsyYsSINT5u7ty5+elPf5pPf/rTOfroo/Pqq6/mkksuSUNDQ+65557069ev0frx48dn0aJFOeaYY1JbW5vNN988BxxwQK644oqce+65adWqVXXtL3/5y1QqlRx22GH/9usAAPBmuEcWAMB/0OTJk7PvvvsmSXbZZZfsueee2WeffTJw4MDU1NRU1y1cuDDt2rVr9NiPfvSjeeyxx/LEE09Ut73+HlnLly/P8uXLG10e+Morr6R3794ZMmRILrnkkiT/OiOrV69eqa+vz+OPP56NNtqoun7SpElpaGjIDTfckI9+9KPV7TvssEM23HBD9+MCAJqNSwsBAP6DPvKRj2TKlCnZf//988ADD+Sss85KQ0NDNtlkk/z2t7+trnttxJozZ05efPHFfPjDH87f//73zJkzZ43Hb9WqVTVirVixIi+99FKWLVuWnXfeOffdd98q6w866KBGEStJBg0alB49euQXv/hFdduDDz6Yv/zlL/nsZz/7pj93AIB/l5AFAPAf9oEPfCC//vWv8/LLL+eee+7JySefnFdffTUHH3xwHn744STJXXfdlUGDBqWuri6dOnXKRhttlK997WtJ8oYhK0kuvfTSbL/99mnbtm26dOmSjTbaKBMnTlzt43r16rXKtpYtW+awww7LtddemwULFiRJfvGLX6Rt27b55Cc/+e9++gAAb5qQBQDQTNq0aZMPfOAD+c53vpOLL744S5cuzVVXXZUnnngi++yzT1588cWce+65mThxYiZPnpzRo0cn+deZVmty2WWX5cgjj8yWW26ZSy65JDfeeGMmT56cvffee7WPe/3liysdccQRmTdvXq699tpUKpVcfvnl+djHPpaOHTu+NZ88AMCb4GbvAADrgZ133jlJ8vzzz+d3v/tdFi9enN/+9rfZfPPNq2te/86Dq3P11Vfnve99b37961+nRYsW1e2nnnpqk+bp27dvdtxxx/ziF7/IpptumqeffjoXXnhhk44BAPBWc0YWAMB/0K233prVvdfO9ddfnyTZeuutq+8U+Np1c+bMyfjx49d6/NU99o9//GOmTJnS5FkPP/zwTJo0Keeff366dOlSvUk9AEBzcUYWAMB/0PHHH58FCxbkgAMOSO/evbNkyZLcfffdueKKK7LFFlvkqKOOyqxZs9KmTZt8/OMfz3/9139l3rx5+clPfpKuXbvm+eeff8Pjf+xjH8uvf/3rHHDAARkyZEhmzJiRcePGpU+fPpk3b16TZv3MZz6Tk046Kddcc02OPfbYRu+qCADQHJyRBQDwH/T9738/AwcOzPXXX58xY8ZkzJgxueeee3Lcccflj3/8Yzp16pStt946V199dVq0aJETTzwx48aNyzHHHJMvfvGLaz3+kUceme985zt54IEHcsIJJ+Smm27KZZddVr10sSm6deuWwYMHJ/nX2VkAAM2tRWV157YDAECSAw44INOnT8/jjz/e3KMAADgjCwCA1Xv++eczceJEZ2MBAOsN98gCAKCRGTNm5K677spPf/rT1NTU5L/+67+aeyQAgCTOyAIA4HVuv/32HH744ZkxY0YuvfTSdO/evblHAgBI4h5ZAAAAABTCGVkAAAAAFEHIAgAAAKAIbvb+BlasWJHnnnsuG2ywQVq0aNHc4wAAAAC841Qqlbz66qvp0aNHWrZ843OuhKw38Nxzz2WzzTZr7jEAAAAA3vGeeeaZbLrppm+4Rsh6AxtssEGSf72Q9fX1zTwN8E6ydOnSTJo0KYMHD05NTU1zjwMAsFa+fwHeLnPnzs1mm21W7TBvRMh6AysvJ6yvrxeygLfU0qVL0759+9TX1/tGEAAogu9fgLfbutzWyc3eAQAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEVocsh69tln89nPfjZdunRJu3btst122+VPf/pTdX+lUskpp5ySjTfeOO3atcugQYPy2GOPNTrGSy+9lMMOOyz19fXp1KlThg8fnnnz5jVa85e//CV77rln2rZtm8022yxnnXXWKrNcddVV6d27d9q2bZvtttsu119/faP96zILAAAAAGVoUsh6+eWXs/vuu6empiY33HBDHn744ZxzzjnZcMMNq2vOOuus/OAHP8i4cePyxz/+MXV1dWloaMiiRYuqaw477LA89NBDmTx5cq677rrccccdOeaYY6r7586dm8GDB6dnz56ZNm1azj777Jx22mn58Y9/XF1z991359Of/nSGDx+eP//5zxk6dGiGDh2aBx98sEmzAAAAAFCGFpVKpbKui7/61a/mrrvuyh/+8IfV7q9UKunRo0e+9KUv5cQTT0ySzJkzJ926dcuECRPyqU99Kn/961/Tp0+f3Hvvvdl5552TJDfeeGP222+//OMf/0iPHj1y8cUX5+tf/3pmzpyZNm3aVJ/72muvzSOPPJIkOfTQQzN//vxcd9111effbbfd0q9fv4wbN26dZlmbuXPnpmPHjpkzZ07q6+vX9WUCWKulS5fm+uuvz3777ZeamprmHgcAYK18/wK8XZrSX1o35cC//e1v09DQkE9+8pO5/fbbs8kmm+S4447L0UcfnSSZMWNGZs6cmUGDBlUf07Fjx+y6666ZMmVKPvWpT2XKlCnp1KlTNWIlyaBBg9KyZcv88Y9/zAEHHJApU6bkQx/6UDViJUlDQ0O+973v5eWXX86GG26YKVOmZMyYMY3ma2hoyLXXXrvOs7ze4sWLs3jx4urHc+fOTfKvL9hLly5tyksFvIMsWLAgjz766Ft6zHkLF+fu6U9kg05T06Fd7Vt67K233jrt27d/S48JAJTF9y9ASZrSXJoUsv7+97/n4osvzpgxY/K1r30t9957b0444YS0adMmw4YNy8yZM5Mk3bp1a/S4bt26VffNnDkzXbt2bTxE69bp3LlzozW9evVa5Rgr92244YaZOXPmWp9nbbO83plnnpnTTz99le2TJk3yRRXexZ544ol86UtfeluOverd//5955xzTrbccsu34cgAQCl8/wKUZMGCBeu8tkkha8WKFdl5553zne98J0my44475sEHH8y4ceMybNiwpk25Hjr55JMbneU1d+7cbLbZZhk8eLBLC+FdbMGCBdljjz3e0mP+7fk5+fI1D+fsA/rk/Rt3fEuP7f9oAgC+fwFKsvKKuHXRpJC18cYbp0+fPo22bbPNNvnVr36VJOnevXuSZNasWdl4442ra2bNmpV+/fpV17zwwguNjrFs2bK89NJL1cd37949s2bNarRm5cdrW/Pa/Wub5fVqa2tTW7vqKbI1NTWuAYd3sY4dO2aXXXZ5S4/Z5ql/pnbKkvTtt1P69ezylh4bAMD3L0BJmtJcmvSuhbvvvvsq11n/7W9/S8+ePZMkvXr1Svfu3XPzzTdX98+dOzd//OMfM2DAgCTJgAED8sorr2TatGnVNbfccktWrFiRXXfdtbrmjjvuaHSN5OTJk7P11ltX3yFxwIABjZ5n5ZqVz7MuswAAAABQjiaFrNGjR2fq1Kn5zne+k8cffzyXX355fvzjH2fEiBFJkhYtWmTUqFH51re+ld/+9reZPn16jjjiiPTo0SNDhw5N8q8zuD760Y/m6KOPzj333JO77rorI0eOzKc+9an06NEjSfKZz3wmbdq0yfDhw/PQQw/liiuuyAUXXNDosr8vfvGLufHGG3POOefkkUceyWmnnZY//elPGTly5DrPAgAAAEA5mnRp4Qc+8IFcc801Ofnkk3PGGWekV69eOf/883PYYYdV15x00kmZP39+jjnmmLzyyivZY489cuONN6Zt27bVNb/4xS8ycuTI7LPPPmnZsmUOOuig/OAHP6ju79ixYyZNmpQRI0akf//+ec973pNTTjklxxxzTHXNBz/4wVx++eX5xje+ka997Wt53/vel2uvvTZ9+/Zt0iwAAAAAlKFFpVKpNPcQ66u5c+emY8eOmTNnjpu9A2+p+5/6Z4ZePDXXHrube0wAAEXw/QvwdmlKf2nSpYUAAAAA0FyELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhNClmnnXZaWrRo0ehH7969q/sXLVqUESNGpEuXLunQoUMOOuigzJo1q9Exnn766QwZMiTt27dP165d8+UvfznLli1rtOa2227LTjvtlNra2my11VaZMGHCKrOMHTs2W2yxRdq2bZtdd90199xzT6P96zILAAAAAOVo8hlZ2267bZ5//vnqjzvvvLO6b/To0fnd736Xq666Krfffnuee+65HHjggdX9y5cvz5AhQ7JkyZLcfffdufTSSzNhwoSccsop1TUzZszIkCFDMnDgwNx///0ZNWpUPv/5z+emm26qrrniiisyZsyYnHrqqbnvvvuyww47pKGhIS+88MI6zwIAAABAWZocslq3bp3u3btXf7znPe9JksyZMyeXXHJJzj333Oy9997p379/xo8fn7vvvjtTp05NkkyaNCkPP/xwLrvssvTr1y/77rtvvvnNb2bs2LFZsmRJkmTcuHHp1atXzjnnnGyzzTYZOXJkDj744Jx33nnVGc4999wcffTROeqoo9KnT5+MGzcu7du3z89+9rN1ngUAAACAsrRu6gMee+yx9OjRI23bts2AAQNy5plnZvPNN8+0adOydOnSDBo0qLq2d+/e2XzzzTNlypTstttumTJlSrbbbrt069atuqahoSHHHntsHnrooey4446ZMmVKo2OsXDNq1KgkyZIlSzJt2rScfPLJ1f0tW7bMoEGDMmXKlCRZp1lWZ/HixVm8eHH147lz5yZJli5dmqVLlzb1pQJYo5WXVC9btszXFwCgCL5/Ad4uTfma0qSQteuuu2bChAnZeuut8/zzz+f000/PnnvumQcffDAzZ85MmzZt0qlTp0aP6datW2bOnJkkmTlzZqOItXL/yn1vtGbu3LlZuHBhXn755Sxfvny1ax555JHqMdY2y+qceeaZOf3001fZPmnSpLRv336NjwNoqmfmJUnrTJ06Nc8+2NzTAACsne9fgLfLggUL1nltk0LWvvvuW/319ttvn1133TU9e/bMlVdemXbt2jXlUOulk08+OWPGjKl+PHfu3Gy22WYZPHhw6uvrm3Ey4J3mgadfSqb/Kbvttlt22Lxzc48DALBWvn8B3i4rr4hbF02+tPC1OnXqlPe///15/PHH85GPfCRLlizJK6+80uhMqFmzZqV79+5Jku7du6/y7oIr30nwtWte/+6Cs2bNSn19fdq1a5dWrVqlVatWq13z2mOsbZbVqa2tTW1t7Srba2pqUlNTs5ZXA2DdtW7duvqzry8AQAl8/wK8XZryNaXJN3t/rXnz5uWJJ57IxhtvnP79+6empiY333xzdf+jjz6ap59+OgMGDEiSDBgwINOnT2/07oKTJ09OfX19+vTpU13z2mOsXLPyGG3atEn//v0brVmxYkVuvvnm6pp1mQUAAACAsjTpjKwTTzwxH//4x9OzZ88899xzOfXUU9OqVat8+tOfTseOHTN8+PCMGTMmnTt3Tn19fY4//vgMGDCgenP1wYMHp0+fPjn88MNz1llnZebMmfnGN76RESNGVM+E+sIXvpCLLrooJ510Uj73uc/llltuyZVXXpmJEydW5xgzZkyGDRuWnXfeObvsskvOP//8zJ8/P0cddVSSrNMsAAAAAJSlSSHrH//4Rz796U/nn//8ZzbaaKPssccemTp1ajbaaKMkyXnnnZeWLVvmoIMOyuLFi9PQ0JAf/vCH1ce3atUq1113XY499tgMGDAgdXV1GTZsWM4444zqml69emXixIkZPXp0Lrjggmy66ab56U9/moaGhuqaQw89NLNnz84pp5ySmTNnpl+/frnxxhsb3QB+bbMAAAAAUJYWlUql0txDrK/mzp2bjh07Zs6cOW72Dryl7n/qnxl68dRce+xu6dezS3OPAwCwVr5/Ad4uTekv/9Y9sgAAAADgP0XIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCK0bu4BAN5qM16cn/mLlzX3GG/oidnzqz+3br1+fymuq22dXu+pa+4xAAAAhCzgnWXGi/Mz8Pu3NfcY6+xLV09v7hHWya0n7iVmAQAAzU7IAt5RVp6Jdf6h/bJV1w7NPM2azV+4ONfdNiUf22tA6trVNvc4a/T4C/My6or71/sz3AAAgHcHIQt4R9qqa4f03aRjc4+xRkuXLs3MjZKdem6Ympqa5h4HAACgCG72DgAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAivBvhazvfve7adGiRUaNGlXdtmjRoowYMSJdunRJhw4dctBBB2XWrFmNHvf0009nyJAhad++fbp27Zovf/nLWbZsWaM1t912W3baaafU1tZmq622yoQJE1Z5/rFjx2aLLbZI27Zts+uuu+aee+5ptH9dZgEAAACgDG86ZN1777350Y9+lO23377R9tGjR+d3v/tdrrrqqtx+++157rnncuCBB1b3L1++PEOGDMmSJUty991359JLL82ECRNyyimnVNfMmDEjQ4YMycCBA3P//fdn1KhR+fznP5+bbrqpuuaKK67ImDFjcuqpp+a+++7LDjvskIaGhrzwwgvrPAsAAAAA5XhTIWvevHk57LDD8pOf/CQbbrhhdfucOXNyySWX5Nxzz83ee++d/v37Z/z48bn77rszderUJMmkSZPy8MMP57LLLku/fv2y77775pvf/GbGjh2bJUuWJEnGjRuXXr165Zxzzsk222yTkSNH5uCDD855551Xfa5zzz03Rx99dI466qj06dMn48aNS/v27fOzn/1snWcBAAAAoByt38yDRowYkSFDhmTQoEH51re+Vd0+bdq0LF26NIMGDapu6927dzbffPNMmTIlu+22W6ZMmZLtttsu3bp1q65paGjIsccem4ceeig77rhjpkyZ0ugYK9esvIRxyZIlmTZtWk4++eTq/pYtW2bQoEGZMmXKOs/yeosXL87ixYurH8+dOzdJsnTp0ixduvTNvFTAf9jKy5SXLVu2Xv+9XTnb+jxjUs7rCQC8/XxfALxdmvI1pckh63//939z33335d57711l38yZM9OmTZt06tSp0fZu3bpl5syZ1TWvjVgr96/c90Zr5s6dm4ULF+bll1/O8uXLV7vmkUceWedZXu/MM8/M6aefvsr2SZMmpX379qt9DLB+eWZekrTOnXfemac6NPc0azd58uTmHuENlfZ6AgBvn5XfF0ydOjXPPtjc0wDvJAsWLFjntU0KWc8880y++MUvZvLkyWnbtm2TB1vfnXzyyRkzZkz147lz52azzTbL4MGDU19f34yTAevqoefm5vvTp2aPPfbItj3W37+3S5cuzeTJk/ORj3wkNTU1zT3OGpXyegIAb78Hnn4pmf6n7Lbbbtlh887NPQ7wDrLyirh10aSQNW3atLzwwgvZaaedqtuWL1+eO+64IxdddFFuuummLFmyJK+88kqjM6FmzZqV7t27J0m6d+++yrsLrnwnwdeuef27C86aNSv19fVp165dWrVqlVatWq12zWuPsbZZXq+2tja1tbWrbK+pqVmv/6EJ/J/WrVtXfy7h7+36/vWltNcTAHj7+L4AeLs05WtKk272vs8++2T69Om5//77qz923nnnHHbYYdVf19TU5Oabb64+5tFHH83TTz+dAQMGJEkGDBiQ6dOnN3p3wcmTJ6e+vj59+vSprnntMVauWXmMNm3apH///o3WrFixIjfffHN1Tf/+/dc6CwAAAADlaNIZWRtssEH69u3baFtdXV26dOlS3T58+PCMGTMmnTt3Tn19fY4//vgMGDCgenP1wYMHp0+fPjn88MNz1llnZebMmfnGN76RESNGVM+G+sIXvpCLLrooJ510Uj73uc/llltuyZVXXpmJEydWn3fMmDEZNmxYdt555+yyyy45//zzM3/+/Bx11FFJko4dO651FgAAAADK8abetfCNnHfeeWnZsmUOOuigLF68OA0NDfnhD39Y3d+qVatcd911OfbYYzNgwIDU1dVl2LBhOeOMM6prevXqlYkTJ2b06NG54IILsummm+anP/1pGhoaqmsOPfTQzJ49O6ecckpmzpyZfv365cYbb2x0A/i1zQIAAABAOf7tkHXbbbc1+rht27YZO3Zsxo4du8bH9OzZM9dff/0bHnevvfbKn//85zdcM3LkyIwcOXKN+9dlFgAAAADK0KR7ZAEAAABAcxGyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQhNbNPQAAAMC73YwX52f+4mXNPcYbemL2/OrPrVuv3/+UrKttnV7vqWvuMYC3wfr91QcAAOAdbsaL8zPw+7c19xjr7EtXT2/uEdbJrSfuJWbBO5CQBQAA0IxWnol1/qH9slXXDs08zZrNX7g41902JR/ba0Dq2tU29zhr9PgL8zLqivvX+zPcgDdHyAIAAFgPbNW1Q/pu0rG5x1ijpUuXZuZGyU49N0xNTU1zjwO8S7nZOwAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUITWzT0AwFtp8fJFadn22cyY+2hatu3Q3OOs0bJly/Lcsufy15f+mtat198vxTPmzkvLts9m8fJFSTo29zgAAMC73Pr7ryeAN+G5+U+lrteF+do9zT3JuvnhjT9s7hHWqq5X8tz8fumfbs09CgAA8C4nZAHvKD3qemb+jONzwaH9smXX9fuMrLvuvCu777H7en1G1hMvzMsXr7g/PQb2bO5RAAAAhCzgnaW2VdusWLRJetVvnT5d1t9L4ZYuXZoZrWdkm87bpKamprnHWaMVi+ZkxaLZqW3VtrlHAQAAcLN3AAAAAMogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABShSSHr4osvzvbbb5/6+vrU19dnwIABueGGG6r7Fy1alBEjRqRLly7p0KFDDjrooMyaNavRMZ5++ukMGTIk7du3T9euXfPlL385y5Yta7Tmtttuy0477ZTa2tpstdVWmTBhwiqzjB07NltssUXatm2bXXfdNffcc0+j/esyCwAAAADlaFLI2nTTTfPd734306ZNy5/+9Kfsvffe+cQnPpGHHnooSTJ69Oj87ne/y1VXXZXbb789zz33XA488MDq45cvX54hQ4ZkyZIlufvuu3PppZdmwoQJOeWUU6prZsyYkSFDhmTgwIG5//77M2rUqHz+85/PTTfdVF1zxRVXZMyYMTn11FNz3333ZYcddkhDQ0NeeOGF6pq1zQIAAABAWZoUsj7+8Y9nv/32y/ve9768//3vz7e//e106NAhU6dOzZw5c3LJJZfk3HPPzd57753+/ftn/PjxufvuuzN16tQkyaRJk/Lwww/nsssuS79+/bLvvvvmm9/8ZsaOHZslS5YkScaNG5devXrlnHPOyTbbbJORI0fm4IMPznnnnVed49xzz83RRx+do446Kn369Mm4cePSvn37/OxnP0uSdZoFAAAAgLK0frMPXL58ea666qrMnz8/AwYMyLRp07J06dIMGjSouqZ3797ZfPPNM2XKlOy2226ZMmVKtttuu3Tr1q26pqGhIccee2weeuih7LjjjpkyZUqjY6xcM2rUqCTJkiVLMm3atJx88snV/S1btsygQYMyZcqUJFmnWVZn8eLFWbx4cfXjuXPnJkmWLl2apUuXvslXCvhPenXhv/4OP/D0S6tctrw+mb9ocf40O3nP32enrm1tc4+zRo/Pnp8kWbZsma+DAPA2mb94Xlq2fTaPv/xwVrSua+5x1mjZsmV5btlzmf7C9LRu/ab/Kfm2+/vL89Oy7bOZv3heli5t39zjAOugKf/WaPJXn+nTp2fAgAFZtGhROnTokGuuuSZ9+vTJ/fffnzZt2qRTp06N1nfr1i0zZ85MksycObNRxFq5f+W+N1ozd+7cLFy4MC+//HKWL1++2jWPPPJI9Rhrm2V1zjzzzJx++umrbJ80aVLat/cFEEowZVaLJK3y9d883NyjrIPW+fnjf27uIdbJvVPuzFPtmnsKAHhnuu/V51LX64f572nNPcm6+eHvf9jcI6xVXa/k+ruXZ+YGPZp7FGAdLFiwYJ3XNjlkbb311rn//vszZ86cXH311Rk2bFhuv/32ph5mvXTyySdnzJgx1Y/nzp2bzTbbLIMHD059fX0zTgasq93mL8l2f30h792oLu1qWjX3OGv0t5lzctI1f81ZB2yT93fv2NzjvKG62lbZosv6+3+HAaB03Z95IT//n1Y59+Dt8t6N1t//5i5btix/nPrH7Lrbruv3GVmz52fM1dOz3xFDstNmXZt7HGAdrLwibl00+atPmzZtstVWWyVJ+vfvn3vvvTcXXHBBDj300CxZsiSvvPJKozOhZs2ale7duydJunfvvsq7C658J8HXrnn9uwvOmjUr9fX1adeuXVq1apVWrVqtds1rj7G2WVantrY2tbWrXuJTU1OTmpqaN3pZgPVEt041OWxAr+YeY529v3vH9OvZpbnHAACaUV1th6xYtEm22rBP+nZbf/8H19KlS/NM62eyXdft1ut/H7VcNicrFr2UutoO6/WcwP9pyt/VJt3sfXVWrFiRxYsXp3///qmpqcnNN99c3ffoo4/m6aefzoABA5IkAwYMyPTp0xu9u+DkyZNTX1+fPn36VNe89hgr16w8Rps2bdK/f/9Ga1asWJGbb765umZdZgEAAACgLE06I+vkk0/Ovvvum8033zyvvvpqLr/88tx222256aab0rFjxwwfPjxjxoxJ586dU19fn+OPPz4DBgyo3lx98ODB6dOnTw4//PCcddZZmTlzZr7xjW9kxIgR1TOhvvCFL+Siiy7KSSedlM997nO55ZZbcuWVV2bixInVOcaMGZNhw4Zl5513zi677JLzzz8/8+fPz1FHHZUk6zQLAAAAAGVpUsh64YUXcsQRR+T5559Px44ds/322+emm27KRz7ykSTJeeedl5YtW+aggw7K4sWL09DQkB/+8P9uBNiqVatcd911OfbYYzNgwIDU1dVl2LBhOeOMM6prevXqlYkTJ2b06NG54IILsummm+anP/1pGhoaqmsOPfTQzJ49O6ecckpmzpyZfv365cYbb2x0A/i1zQIAAABAWVpUKpVKcw+xvpo7d246duyYOXPmuNk78Ja6/6l/ZujFU3Ptsbu5RxYAvMs9+OycfOzCO3Pd8Xuk7ybr9z2yrr/++uy3337r9b2nSnk9gf/TlP7yb98jCwAAAAD+E4QsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCE0KWWeeeWY+8IEPZIMNNkjXrl0zdOjQPProo43WLFq0KCNGjEiXLl3SoUOHHHTQQZk1a1ajNU8//XSGDBmS9u3bp2vXrvnyl7+cZcuWNVpz2223ZaeddkptbW222mqrTJgwYZV5xo4dmy222CJt27bNrrvumnvuuafJswAAAABQhiaFrNtvvz0jRozI1KlTM3ny5CxdujSDBw/O/Pnzq2tGjx6d3/3ud7nqqqty++2357nnnsuBBx5Y3b98+fIMGTIkS5Ysyd13351LL700EyZMyCmnnFJdM2PGjAwZMiQDBw7M/fffn1GjRuXzn/98brrppuqaK664ImPGjMmpp56a++67LzvssEMaGhrywgsvrPMsAAAAAJSjdVMW33jjjY0+njBhQrp27Zpp06blQx/6UObMmZNLLrkkl19+efbee+8kyfjx47PNNttk6tSp2W233TJp0qQ8/PDD+f3vf59u3bqlX79++eY3v5mvfOUrOe2009KmTZuMGzcuvXr1yjnnnJMk2WabbXLnnXfmvPPOS0NDQ5Lk3HPPzdFHH52jjjoqSTJu3LhMnDgxP/vZz/LVr351nWYBAAAAoBxNClmvN2fOnCRJ586dkyTTpk3L0qVLM2jQoOqa3r17Z/PNN8+UKVOy2267ZcqUKdluu+3SrVu36pqGhoYce+yxeeihh7LjjjtmypQpjY6xcs2oUaOSJEuWLMm0adNy8sknV/e3bNkygwYNypQpU9Z5ltdbvHhxFi9eXP147ty5SZKlS5dm6dKlb+o1AlidlZdTL1u2zNcXAHiXK+X7gpWzrc8zJuW8nsD/acrf1TcdslasWJFRo0Zl9913T9++fZMkM2fOTJs2bdKpU6dGa7t165aZM2dW17w2Yq3cv3LfG62ZO3duFi5cmJdffjnLly9f7ZpHHnlknWd5vTPPPDOnn376KtsnTZqU9u3br+mlAGiyZ+YlSetMnTo1zz7Y3NMAAM1p5fcFd955Z57q0NzTrN3kyZObe4Q3VNrrCSQLFixY57VvOmSNGDEiDz74YO688843e4j1zsknn5wxY8ZUP547d24222yzDB48OPX19c04GfBO88DTLyXT/5TddtstO2zeubnHAQCa0UPPzc33p0/NHnvskW17rL//7li6dGkmT56cj3zkI6mpqWnucdaolNcT+D8rr4hbF28qZI0cOTLXXXdd7rjjjmy66abV7d27d8+SJUvyyiuvNDoTatasWenevXt1zevfXXDlOwm+ds3r311w1qxZqa+vT7t27dKqVau0atVqtWtee4y1zfJ6tbW1qa2tXWV7TU3Nev2FGihP69atqz/7+gIA726lfV+wvv/7qLTXE0iT/q426V0LK5VKRo4cmWuuuSa33HJLevXq1Wh///79U1NTk5tvvrm67dFHH83TTz+dAQMGJEkGDBiQ6dOnN3p3wcmTJ6e+vj59+vSprnntMVauWXmMNm3apH///o3WrFixIjfffHN1zbrMAgAAAEA5mnRG1ogRI3L55ZfnN7/5TTbYYIPqvaY6duyYdu3apWPHjhk+fHjGjBmTzp07p76+Pscff3wGDBhQvbn64MGD06dPnxx++OE566yzMnPmzHzjG9/IiBEjqmdDfeELX8hFF12Uk046KZ/73Odyyy235Morr8zEiROrs4wZMybDhg3LzjvvnF122SXnn39+5s+fX30Xw3WZBQAAAIByNClkXXzxxUmSvfbaq9H28ePH58gjj0ySnHfeeWnZsmUOOuigLF68OA0NDfnhD39YXduqVatcd911OfbYYzNgwIDU1dVl2LBhOeOMM6prevXqlYkTJ2b06NG54IILsummm+anP/1pGhoaqmsOPfTQzJ49O6ecckpmzpyZfv365cYbb2x0A/i1zQIAAABAOZoUsiqVylrXtG3bNmPHjs3YsWPXuKZnz565/vrr3/A4e+21V/785z+/4ZqRI0dm5MiR/9YsAAAAAJShSffIAgAAAIDmImQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUITWzT0AAADAu9nCpcuTJA8+O6eZJ3lj8xcuzp9mJ92fejl17Wqbe5w1evyFec09AvA2ErIAAACa0RP/P7x89dfTm3mSddE6P3/83uYeYp3U1frnLrwT+ZsNAADQjAZv2z1JsmXXDmlX06qZp1mzR5+fky9dPT3nHLxdtt64Y3OP84bqalun13vqmnsM4G0gZAEAADSjznVt8qldNm/uMdZq2bJlSZItN6pL303W75AFvHO52TsAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARWjd3AMArO8WLFiQRx555C095qPPv5LFMx/PXx9slxX/7PSWHrt3795p3779W3pMAACA9YGQBbAWjzzySPr37/+2HPszl771x5w2bVp22mmnt/7AAAAAzUzIAliL3r17Z9q0aW/pMectXJyJt07JkIED0qFd7Vt67N69e7+lxwMAAFhfCFkAa9G+ffu3/AynpUuX5uUXX8iAXXZOTU3NW3psAACAdyo3ewcAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEVo3dwDALzbLFmyJBdeeGFuueWWPP744zn++OPTpk2b5h4LAABgvdfkM7LuuOOOfPzjH0+PHj3SokWLXHvttY32VyqVnHLKKdl4443Trl27DBo0KI899lijNS+99FIOO+yw1NfXp1OnThk+fHjmzZvXaM1f/vKX7Lnnnmnbtm0222yznHXWWavMctVVV6V3795p27Zttttuu1x//fVNngXgP+mkk05KXV1dTjzxxFx//fU58cQTU1dXl5NOOqm5RwMAAFjvNTlkzZ8/PzvssEPGjh272v1nnXVWfvCDH2TcuHH54x//mLq6ujQ0NGTRokXVNYcddlgeeuihTJ48Odddd13uuOOOHHPMMdX9c+fOzeDBg9OzZ89MmzYtZ599dk477bT8+Mc/rq65++678+lPfzrDhw/Pn//85wwdOjRDhw7Ngw8+2KRZAP5TTjrppJx99tnp0qVLxo0bl/Hjx2fcuHHp0qVLzj77bDELAABgLVpUKpXKm35wixa55pprMnTo0CT/OgOqR48e+dKXvpQTTzwxSTJnzpx069YtEyZMyKc+9an89a9/TZ8+fXLvvfdm5513TpLceOON2W+//fKPf/wjPXr0yMUXX5yvf/3rmTlzZvVym69+9au59tpr88gjjyRJDj300MyfPz/XXXdddZ7ddtst/fr1y7hx49ZplrWZO3duOnbsmDlz5qS+vv7NvkwA+X/t3XuMVfXd7/HPRsZxFOTWIEWGJ0Pk5g219UKsUgwqoTHS2IupjZqYxjxyqagNNa2lxMtEbWMqUdSQACZttLXeWogt4gFDC0oxiCgo2PGBnhbskVIETnCEOX+cuOMUZQZEtz94vRICe+01v/Xd/LGzebPW2u+9916OOeaY9OnTJ3/729/S1taW+fPnZ9y4calUKhkwYEDeeeed7Nixw2WGAMDn0sr/eSfjZy7Lk/99Tk77rz61Hgc4hOxPfzmo98hqaWnJpk2bMmbMmOq2Hj165Oyzz87SpUtz+eWXZ+nSpenZs2c1YiXJmDFj0qVLl7zwwgv5+te/nqVLl+b8889v94+5iy++OHfeeWf+9a9/pVevXlm6dGluuOGGdse/+OKLq5c6dmaW/7Rr167s2rWr+njbtm1JktbW1rS2tn6yvxzgsDZjxoy8//77mT59etra2qrvKa2tramrq8u0adNy3XXXZcaMGZk8eXKNpwUA2Nv7779f/d2/j4CDaX/eUw5qyNq0aVOS5Ljjjmu3/bjjjqs+t2nTpvTt27f9EF27pnfv3u32aWpq2muND57r1atXNm3a1OFxOprlPzU3N2f69Ol7bf/jH/+Yo48++mNeNUDHnnvuuSRJfX19u/v5LViwIEly1FFHVfc74YQTPvsBAQA6sHF7knTNsmXL8r9Xd7Q3QOft3Lmz0/v61sIPufnmm9ud5bVt27Y0Njbmoosucmkh8ImsX78+8+fPz65duzJu3Li0trZmwYIFufDCC1NXV5dZs2YlSS644IKMGzeuxtMCAOzt5Q1bklf+knPOOScjBvau9TjAIeSDK+I646CGrH79+iVJNm/enC9+8YvV7Zs3b85pp51W3eftt99u93Pvv/9+tmzZUv35fv36ZfPmze32+eBxR/t8+PmOZvlP9fX1qa+v32t7XV1d6urqPv6FA3Rg0qRJ+eEPf5hp06blmmuuqb6n1NXVpVKpZPr06enatWsmTZrk/QYA+Fzq2rVr9XefV4CDaX/eU/b7Wwv3pampKf369cvChQur27Zt25YXXnghI0eOTJKMHDkyW7duzYoVK6r7PPfcc9mzZ0/OPvvs6j7PP/98u2skFyxYkKFDh6ZXr17VfT58nA/2+eA4nZkF4LNy5JFHZsqUKdm8eXMGDBiQWbNmZcuWLZk1a1YGDBiQzZs3Z8qUKW70DgAAsA/7fUbW9u3bs379+urjlpaWrFy5Mr17987AgQNz/fXX57bbbsvgwYPT1NSUW265Jf37969+s+Hw4cMzduzYfO9738sDDzyQ1tbWTJw4MZdffnn69++fJPnOd76T6dOn55prrsnUqVOzevXq/OIXv8g999xTPe73v//9jBo1Kj//+c/zta99LY888kj+8pe/5KGHHkry/79RsaNZAD5Ld911V5LknnvuyXXXXVfd3rVr1/zgBz+oPg8AAMBHq7S1tbXtzw8sWrQoo0eP3mv7VVddlTlz5qStrS3Tpk3LQw89lK1bt+YrX/lK7r///gwZMqS675YtWzJx4sT87ne/S5cuXXLZZZfl3nvvTbdu3ar7rFq1KhMmTMjy5cvzhS98IZMmTcrUqVPbHfM3v/lNfvzjH+ett97K4MGDc9ddd7W7t0xnZtmX/fn6R4DOeu+99zJjxow899xzueCCCzJp0iRnYgEAn3sr/+edjJ+5LE/+9zk57b/61Hoc4BCyP/1lv0PW4UTIAj4tra2tmT9/fsaNG+ceEwBAEYQs4NOyP/3loN4jCwAAAAA+LUIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUISutR4AAACAg2vnzp1Zu3btQV3z9X9sza5N67NmdUP2vNPzoK49bNiwHH300Qd1TeDQJGQBAAAcYtauXZsvfelLn8ra35l78NdcsWJFzjjjjIO/MHDIEbIAAAAOMcOGDcuKFSsO6prb/++uzPtfS/O10SPTraH+oK49bNiwg7oecOgSsgAAAA4xRx999EE/w6m1tTX/+j9vZ+RZX05dXd1BXRugs9zsHQAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEUQsgAAAAAogpAFAAAAQBGELAAAAACKIGQBAAAAUAQhCwAAAIAiCFkAAAAAFEHIAgAAAKAIQhYAAAAARRCyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAiiBkAQAAAFAEIQsAAACAIghZAAAAABRByAIAAACgCEIWAAAAAEXoWusBPs/a2tqSJNu2bavxJMChprW1NTt37sy2bdtSV1dX63EAADrk8wvwafmgu3zQYfZFyNqHd999N0nS2NhY40kAAAAADm3vvvtuevTosc99Km2dyV2HqT179uTvf/97unfvnkqlUutxgEPItm3b0tjYmI0bN+bYY4+t9TgAAB3y+QX4tLS1teXdd99N//7906XLvu+C5YysfejSpUsGDBhQ6zGAQ9ixxx7rgyAAUBSfX4BPQ0dnYn3Azd4BAAAAKIKQBQAAAEARhCyAGqivr8+0adNSX19f61EAADrF5xfg88DN3gEAAAAogjOyAAAAACiCkAUAAABAEYQsAAAAAIogZAEAAABQBCEL4DP0/PPP55JLLkn//v1TqVTy5JNP1nokAIB9am5uzplnnpnu3bunb9++GT9+fF5//fVajwUcpoQsgM/Qjh07MmLEiNx33321HgUAoFMWL16cCRMmZNmyZVmwYEFaW1tz0UUXZceOHbUeDTgMVdra2tpqPQTA4ahSqeSJJ57I+PHjaz0KAECn/fOf/0zfvn2zePHinH/++bUeBzjMOCMLAACATvv3v/+dJOndu3eNJwEOR0IWAAAAnbJnz55cf/31Offcc3PyySfXehzgMNS11gMAAABQhgkTJmT16tVZsmRJrUcBDlNCFgAAAB2aOHFifv/73+f555/PgAEDaj0OcJgSsgAAAPhYbW1tmTRpUp544oksWrQoTU1NtR4JOIwJWQCfoe3bt2f9+vXVxy0tLVm5cmV69+6dgQMH1nAyAICPNmHChPzqV7/KU089le7du2fTpk1Jkh49eqShoaHG0wGHm0pbW1tbrYcAOFwsWrQoo0eP3mv7VVddlTlz5nz2AwEAdKBSqXzk9tmzZ+fqq6/+bIcBDntCFgAAAABF6FLrAQAAAACgM4QsAAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAGrspz/9aU477bTq46uvvjrjx4+v2Twf56tf/Wquv/76Wo8BABzGhCwAgE9o06ZNmTRpUgYNGpT6+vo0NjbmkksuycKFC2s9Wqe89dZbqVQq+/w1Z86cPP7447n11ltrPS4AcBjrWusBAABK9tZbb+Xcc89Nz549c/fdd+eUU05Ja2tr/vCHP2TChAlZu3ZtrUfsUGNjY/7xj39UH//sZz/LM888k2effba6rUePHmloaPhEx9m9e3cqlUq6dPF/qQDAgfEpAgDgE7juuutSqVTy4osv5rLLLsuQIUNy0kkn5YYbbsiyZcuSJBs2bMill16abt265dhjj823vvWtbN68udPH2LNnT5qbm9PU1JSGhoaMGDEijz32WLt9nn766QwePDhHHXVURo8enblz56ZSqWTr1q3VfZYsWZLzzjsvDQ0NaWxszOTJk7Njx44cccQR6devX/VXt27d0rVr13bbGhoa9rq0cNeuXbnpppty/PHH55hjjsnZZ5+dRYsWVZ+fM2dOevbsmaeffjonnnhi6uvrs2HDhgP6ewYASIQsAIADtmXLljzzzDOZMGFCjjnmmL2e79mzZ/bs2ZNLL700W7ZsyeLFi7NgwYL89a9/zbe//e1OH6e5uTkPP/xwHnjggbz66quZMmVKvvvd72bx4sVJkpaWlnzjG9/I+PHj8/LLL+faa6/Nj370o3ZrvPnmmxk7dmwuu+yyrFq1Ko8++miWLFmSiRMnHvDrnzhxYpYuXZpHHnkkq1atyje/+c2MHTs269atq+6zc+fO3HnnnZk1a1ZeffXV9O3b94CPBwDg0kIAgAO0fv36tLW1ZdiwYR+7z8KFC/PKK6+kpaUljY2NSZKHH344J510UpYvX54zzzxzn8fYtWtX7rjjjjz77LMZOXJkkmTQoEFZsmRJHnzwwYwaNSoPPvhghg4dmrvvvjtJMnTo0KxevTq33357dZ3m5uZcccUV1TOqBg8enHvvvTejRo3KzJkzc9RRR+3Xa9+wYUNmz56dDRs2pH///kmSm266Kc8880xmz56dO+64I0nS2tqa+++/PyNGjNiv9QEAPoqQBQBwgNra2jrcZ82aNWlsbKxGrCQ58cQT07Nnz6xZs6bDkLV+/frs3LkzF154Ybvt7733Xk4//fQkyeuvv77XOmeddVa7xy+//HJWrVqVX/7yl+3m37NnT1paWjJ8+PAOX8uHvfLKK9m9e3eGDBnSbvuuXbvSp0+f6uMjjzwyp5566n6tDQDwcYQsAIADNHjw4FQqlU/1hu7bt29PksybNy/HH398u+fq6+v3a51rr702kydP3uu5gQMHHtBcRxxxRFasWJEjjjii3XPdunWr/rmhoSGVSmW/1wcA+ChCFgDAAerdu3cuvvji3HfffZk8efJe98naunVrhg8fno0bN2bjxo3Vs7Jee+21bN26NSeeeGKHx/jwTdJHjRr1kfsMHTo08+fPb7dt+fLl7R6fccYZee2113LCCSfsz0v8WKeffnp2796dt99+O+edd95BWRMAoCNu9g4A8Ancd9992b17d84666z89re/zbp167JmzZrce++9GTlyZMaMGZNTTjklV1xxRV566aW8+OKLufLKKzNq1Kh8+ctf7nD97t2756abbsqUKVMyd+7cvPnmm3nppZcyY8aMzJ07N0ly7bXXZu3atZk6dWreeOON/PrXv86cOXOSpHo21NSpU/PnP/85EydOzMqVK7Nu3bo89dRTB3yz9yFDhuSKK67IlVdemccffzwtLS158cUX09zcnHnz5h3QmgAAHRGyAAA+gUGDBuWll17K6NGjc+ONN+bkk0/OhRdemIULF2bmzJmpVCp56qmn0qtXr5x//vkZM2ZMBg0alEcffbTTx7j11ltzyy23pLm5OcOHD8/YsWMzb968NDU1JUmampry2GOP5fHHH8+pp56amTNnVr+18IPLD0899dQsXrw4b7zxRs4777ycfvrp+clPflK9UfuBmD17dq688srceOONGTp0aMaPH5/ly5cf0KWKAACdUWnrzF1KAQAoyu23354HHnggGzdurPUoAAAHjXtkAQAcAu6///6ceeaZ6dOnT/70pz/l7rvvPuDLBgEAPq+ELACAQ8C6dety2223ZcuWLRk4cGBuvPHG3HzzzbUeCwDgoHJpIQAAAABFcLN3AAAAAIogZAEAAABQBCELAAAAgCIIWQAAAAAUQcgCAAAAoAhCFgAAAABFELIAAAAAKIKQBQAAAEARhCwAAAAAivD/AGHgxqPF/fX2AAAAAElFTkSuQmCC\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observation**\n", + "\n", + "college tier 2's average salary seems to be lesser than college tier 1's salary" + ], + "metadata": { + "id": "EBHp4L2K1xoc" + } + }, + { + "cell_type": "code", + "source": [ + "clean_df.boxplot(by='Degree',column='Salary',figsize=(14,14))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "XY-bNVFb27Jz", + "outputId": "509dc4ef-3645-4a83-cd9c-30eec0669e18" + }, + "execution_count": 218, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 218 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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q0qSJ3atx48aSrv2LZXJysjIyMm65trVr1xabU6IkRV82K3IMAP64sLAwXb58WQUFBerVq9ctb+dPf/qTpGt3R3l6eiooKKjEn5our/vvv19eXl46dOhQmW1v13hWkkuXLiktLa3MCfKBu1lljTMhISE6ePCggoKCin3WPTw81LRpU9WsWfMPjT03ys3N1ZYtW256LePs7KzBgwdr69atevbZZyttvwDuPKWNZXXq1FGvXr00b948XbhwoVjfrKwsSdKBAweUmJiorVu3Kjk52fbaunWrEhISyhWE4e5FkAVTy8/PV3p6utLT05WSkqLRo0fb/pVSkrp166a5c+eWuZ0333xTM2bM0Jw5c/Tjjz/qwIEDWrJkid577z1JUmRkpPz8/BQREaEdO3bo6NGj+vLLL8v16z7Stdv0ExMT1bdv32LrsrKylJ6erlOnTmnbtm2aMmWKmjVrphYtWkiS9uzZo+DgYP36668l9rv+VfSXxa+//qrg4GDt2bOnXPUBuBYip6Sk6NChQ7ZA+UZz5861e1Tn73//u6ZOnaodO3bo+PHj2rVrlwYPHqx69eqpc+fOkqTJkyfr3Xff1Zw5c3TkyBF99913+uCDD2zbGDx4sF5//fWb1uXk5KTu3bvr//7v/8p1HFU9npV0HiRp165dslqttuMGUFxZ40xJn62SjBw5UhkZGYqMjNTevXuVlpam//73vxo6dKiuXLkiNzc3vfrqq4qJidEnn3yitLQ07dq1q0KTKN94LREfH69mzZopKCjopn2mTp2qc+fO3TSku9n1SU5OTrFrmuzsbNv64OBgrV69uty1A6haZY1l8+bN05UrV9SxY0d9+eWXOnLkiFJSUjRnzhzbdcLixYvVsWNHde3a1XZne6tWrdS1a1c98MADTPqOUhFkwdTi4+Pl7+8vf39/derUSXv37tUXX3yhv/zlL5KuzRNx/U9R38ywYcO0aNEiLVmyRK1bt9YjjzyipUuX2u5gcHV11ddff6369evrscceU+vWrfX222/f9Mvujf7zn/+oY8eOJc6FMXToUPn7+6tBgwaKjIxUy5YttWHDBtsttnl5eTp8+LAKCgpK7Hf9q+jLcUFBgQ4fPsxcNUAFeXl5ycvL66brz58/r7S0NNv77t27a9euXXrqqafUrFkz9e/fX25ubtq0aZPtsZqoqCi9//77mj9/vlq2bKm+ffvqyJEjtm2cOHFCp0+fLrWuYcOGacWKFeV6vK+qx7OSzoN0bZ6LQYMGyd3dvdzbAe5GpY0zJX22ShIQEKAdO3boypUr6tmzp1q3bq0xY8bIx8dHTk7XLu8nTpyol19+WZMmTVKLFi3017/+tVxz3RW58Vpi7dq1N32ssIirq6vq1q17019nvtn1yaRJk4pd08TExNjWHz58WL///nu5awdQ9Uoby+677z599913Cg0N1csvv6xWrVqpR48e2rRpkxYsWKDLly/rs88+U//+/Uvs379/f33yySfFvv8ARSxGRWZjA3BLHn/8cXXp0sXuogwAysswDHXq1EkvvfSSIiMjHV1OMefPn1fz5s2VmJhoC8wAVB+FhYXy9fXVhg0b1LFjR0eXAwC4y3FHFnAbdOnS5Y788gnAHCwWiz766CMVFhY6upQSHTt2TPPnzyfEAqqpjIwMvfTSS3rggQccXQoAANyRBQAAAAAAAHPgjiwAAAAAAACYAkEWAAAAAAAATIEgCwAAAAAAAKZAkAUAAAAAAABTIMgCAAAAAACAKRBkAQAAAAAAwBQIsgAAAG6zIUOGyGKxyGKxyMXFRb6+vurRo4diY2N19epVR5cHAABwxyLIAgAAcICwsDCdPn1ax44d04YNGxQaGqoXX3xRffv2VWFhYZXt9/Lly1W2bQAAgKpGkAUAAOAAVqtVfn5+uvfeexUSEqI33nhDa9eu1YYNG7R06VJJUlZWloYNG6Z69erJy8tLjz76qPbt22e3nWnTpql+/fry9PTUsGHD9Nprr6lt27a29UOGDFFERISmT5+ugIAANW/eXJJ08uRJDRgwQD4+PqpTp4769eunY8eO2W170aJFatGihdzc3BQcHKz58+dX5SkBAAAoE0EWAADAHeLRRx9VmzZttGrVKknSU089pbNnz2rDhg1KSkpSSEiIunXrpoyMDEnSsmXLNH36dL3zzjtKSkpSw4YNtWDBgmLb3bRpkw4fPqyNGzdq3bp1KigoUK9eveTp6alvv/1WO3bsUK1atRQWFma7Y2vZsmWaNGmSpk+frpSUFL311luaOHGiPv7449t3QgAAAG5gMQzDcHQRAAAAd5MhQ4YoKytLa9asKbZu4MCB2r9/vz766CP16dNHZ8+eldVqta1v0qSJYmJiNGLECD344IPq0KGD5s6da1vfpUsX5ebmKjk52bav+Ph4nThxQq6urpKkzz77TNOmTVNKSoosFouka48c+vj4aM2aNerZs6eaNGmiqVOnKjIy0rbtadOmaf369dq5c2cVnBUAAICyOTu6AAAAAPyPYRiyWCzat2+fcnNzdc8999itv3jxotLS0iRJhw8f1vPPP2+3vmPHjtq8ebPdstatW9tCLEnat2+ffvrpJ3l6etq1u3TpktLS0nThwgWlpaUpOjpaw4cPt60vLCyUt7d3pRwnAADArSDIAgAAuIOkpKSocePGys3Nlb+/v7Zu3VqsjY+PT4W26eHhYfc+NzdX7du317Jly4q1rVevnnJzcyVJCxcuVKdOnezW16hRo0L7BgAAqEwEWQAAAHeIzZs368CBA3rppZfUoEEDpaeny9nZWUFBQSW2b968ufbu3avBgwfblu3du7fM/YSEhGjlypWqX7++vLy8iq339vZWQECAjh49qkGDBt3y8QAAAFQ2giwAAAAHyM/PV3p6uq5cuaIzZ84oPj5eM2bMUN++fTV48GA5OTmpc+fOioiI0MyZM9WsWTOdOnVKX331lZ544gl16NBBo0eP1vDhw9WhQwc99NBDWrlypfbv36/77ruv1H0PGjRIs2bNUr9+/TRlyhQ1aNBAx48f16pVqxQTE6MGDRrozTff1AsvvCBvb2+FhYUpPz9fiYmJyszM1NixY2/TWQIAALBHkAUAAOAA8fHx8vf3l7Ozs2rXrq02bdpozpw5ioqKkpPTtR+WXr9+vcaPH6+hQ4fq3Llz8vPzU9euXeXr6yvpWiB19OhRvfLKK7p06ZIGDBigIUOGaM+ePaXu293dXdu3b9err76qJ598Ujk5Obr33nvVrVs32x1aw4YNk7u7u2bNmqVx48bJw8NDrVu31pgxY6r0vAAAAJSGXy0EAACoRnr06CE/Pz99+umnji4FAACg0nFHFgAAgEnl5eXpww8/VK9evVSjRg19/vnn+uabb7Rx40ZHlwYAAFAluCMLAADApC5evKjw8HB9//33unTpkpo3b64JEyboySefdHRpAAAAVYIgCwAAAAAAAKbg5OgCAAAAAAAAgPIgyAIAAAAAAIApEGQBAAAAAADAFAiyAAAAAAAAYAoEWQAAAAAAADAFgiwAAAAAAACYAkEWAAAAAAAATIEgCwAAAAAAAKZAkAUAAAAAAABT+H88he04IREIIgAAAABJRU5ErkJggg==\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**observation**\n", + "\n", + "we can see that average salary of M.Sc and B.Tech/B.E is more than M.Tech/M.E and MCA" + ], + "metadata": { + "id": "MoEnv_BO3EGg" + } + }, + { + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "sns.catplot(x = \"GraduationYear\",hue=\"Gender\",data = df,kind='count')\n", + "plt.xticks(rotation=90)\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 528 + }, + "id": "u0pApQJlA_nr", + "outputId": "80b32ac5-f03d-4bb8-dbfa-f758354c8df3" + }, + "execution_count": 232, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "sns.catplot(x = \"Designation\",hue=\"Gender\",data = df,kind='count',height=100)\n", + "plt.xticks(rotation=90)\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "vPJ6q7yeBXS_", + "outputId": "662170c2-fdac-47cb-e72f-1327651511d4" + }, + "execution_count": 235, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "##Research Questions\n", + "- Times of India article dated Jan 18, 2019 states that “After doing your Computer Science\n", + "Engineering if you take up jobs as a Programming Analyst, Software Engineer,\n", + "Hardware Engineer and Associate Engineer you can earn up to 2.5-3 lakhs as a fresh\n", + "graduate.” Test this claim with the data given to you.\n", + "- Is there a relationship between gender and specialisation? (i.e. Does the preference of\n", + "Specialisation depend on the Gender?)" + ], + "metadata": { + "id": "PZonCU7ODNT1" + } + }, + { + "cell_type": "code", + "source": [ + "# Normalize Salary for Better Visualization\n", + "clean_df['n_sal']=clean_df['Salary']/100000" + ], + "metadata": { + "id": "t5I3fNbSDGZ5" + }, + "execution_count": 236, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "clean_df['Designation'].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_sBR64qTEKwr", + "outputId": "86af539e-ceb1-419b-af7e-a688e9d7a3aa" + }, + "execution_count": 238, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "software engineer 501\n", + "software developer 246\n", + "system engineer 198\n", + "programmer analyst 130\n", + "systems engineer 113\n", + " ... \n", + "delivery software engineer 1\n", + "graphic designer 1\n", + "sales development manager 1\n", + "visiting faculty 1\n", + "jr. software developer 1\n", + "Name: Designation, Length: 406, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 238 + } + ] + }, + { + "cell_type": "code", + "source": [ + "print('Average Salary :')\n", + "print('Programmer Analyst :',round(clean_df['n_sal'][(clean_df['GraduationYear']==2014) & (clean_df['Designation']=='programmer analyst') & (clean_df['Specialization']=='computer science & engineering')].mean(), 2))\n", + "print('Software Engineer :',round(clean_df['n_sal'][(clean_df['GraduationYear']==2014) & (clean_df['Designation']=='software engineer') & (clean_df['Specialization']=='computer science & engineering')].mean(),2))\n", + "print('Hardware Engineer :',round(clean_df['n_sal'][(clean_df['GraduationYear']==2014) &(clean_df['Designation']=='hardware engineer') & (clean_df['Specialization']=='computer science & engineering')].mean(), 2))\n", + "print('Associate Engineer :',round(clean_df['n_sal'][(clean_df['GraduationYear']==2014) &(clean_df['Designation']=='associate engineer') & (clean_df['Specialization']=='computer science & engineering')].mean(), 2))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1rU_XWyDDdIw", + "outputId": "e04674bd-a5e6-4913-f627-74dadacd9f91" + }, + "execution_count": 239, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Average Salary :\n", + "Programmer Analyst : 3.01\n", + "Software Engineer : 3.29\n", + "Hardware Engineer : nan\n", + "Associate Engineer : 3.32\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Sample Data for Required Employees\n", + "sample = [3.16,3.6,0,3.5]\n", + "sample = np.array(sample)" + ], + "metadata": { + "id": "bSUaNtzfEgCX" + }, + "execution_count": 240, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Necessary variables initialization ex- sample mean\n", + "sample_size = len(sample)\n", + "sample_mean = np.mean(sample)\n", + "sample_mean" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "oXuFZdbHEj2z", + "outputId": "2204264a-0eed-4283-d85f-5dacaff831ba" + }, + "execution_count": 241, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "2.565" + ] + }, + "metadata": {}, + "execution_count": 241 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Sample Standard Devation\n", + "import math\n", + "sample_std = math.sqrt(sum([(i-sample_mean)**2 for i in sample]) / 3)\n", + "print('Sample Standard Deviation :', sample_std)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "iaK10IXuEmAz", + "outputId": "d27c9b4a-93e0-42b3-9bb7-62aa7e0d504f" + }, + "execution_count": 242, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Sample Standard Deviation : 1.7203391138571102\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calulating T-Score\n", + "def t_score(pop_mean, sample_mean, sample_std, sample_size):\n", + " numerator = sample_mean - pop_mean\n", + " denominator = sample_std / (sample_size**0.5)\n", + " return numerator / denominator" + ], + "metadata": { + "id": "ILgOb9LBEomv" + }, + "execution_count": 243, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Necessary variables initialization ex- sample mean,population mean\n", + "pop_mean = 2.75\n", + "sample_mean = 3.34\n", + "sample_std = 0.21\n", + "sample_size = 4" + ], + "metadata": { + "id": "CoormxHvEsmq" + }, + "execution_count": 244, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Calling T-score Function\n", + "t_sc = t_score(pop_mean, sample_mean, sample_std, sample_size)\n", + "print('t-score :', t_sc)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JnnrxLnIE12z", + "outputId": "32dbcbf9-db51-4507-91e1-60372defd329" + }, + "execution_count": 245, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "t-score : 5.619047619047618\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Setting the Confidence Level\n", + "\n", + "# Two Tail - Deciding the Significance Level & Calculating the t-critical value\n", + "from scipy.stats import t\n", + "confidence_level = 0.95\n", + "alpha = 1 - confidence_level\n", + "t_critical = t.ppf(1-alpha/2, df = 3)\n", + "print('t_critical :', t_critical)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bkI_u8TLE6tN", + "outputId": "cc814d08-2f8f-424c-ea0d-c2059558d08b" + }, + "execution_count": 246, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "t_critical : 3.182446305284263\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Visualizing the Sampling Distribution with Rejection Regions\n", + "from scipy.stats import norm\n", + "# Defining the x min & x max\n", + "x_min = 2\n", + "x_max =6\n", + "\n", + "# Defining the Sampling Distribution mean & std\n", + "mean = pop_mean\n", + "std = sample_std / (sample_size**0.5)\n", + "\n", + "# Ploting the graph and setting the x limits\n", + "x = np.linspace(x_min, x_max, 100)\n", + "y = norm.pdf(x, mean, std)\n", + "plt.xlim(x_min, x_max)\n", + "plt.plot(x, y)\n", + "\n", + "# Computing the left and right critical values of Two tailed Test\n", + "t_critical_left = pop_mean + (-t_critical * std)\n", + "t_critical_right = pop_mean + (t_critical * std)\n", + "\n", + "print('t_critical_left :', t_critical_left)\n", + "print('t_critical_right :', t_critical_right)\n", + "\n", + "# Shading the left rejection region\n", + "x_left = np.linspace(x_min, t_critical_left, 100)\n", + "y_left = norm.pdf(x_left, mean, std)\n", + "plt.fill_between(x_left, y_left, color='red')\n", + "\n", + "# Shading the right rejection region\n", + "x_right = np.linspace(t_critical_right, x_max, 100)\n", + "y_right = norm.pdf(x_right, mean, std)\n", + "plt.fill_between(x_right, y_right, color='red')\n", + "\n", + "plt.scatter(sample_mean, 0)\n", + "plt.annotate(\"x_bar\", (sample_mean, 0.1))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 482 + }, + "id": "ppLXiOU9FGhn", + "outputId": "483edb68-8760-40c0-cd60-97eb5e429818" + }, + "execution_count": 247, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "t_critical_left : 2.4158431379451524\n", + "t_critical_right : 3.0841568620548476\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(3.34, 0.1, 'x_bar')" + ] + }, + "metadata": {}, + "execution_count": 247 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Compairing the Table Value and T-score value\n", + "\n", + "# Conclusion using t-test\n", + "\n", + "if np.abs(t_sc) > t_critical:\n", + " print(\"Reject Null Hypothesis\")\n", + "else:\n", + " print(\"Fail to reject Null Hypothesis\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "eCyUXA9kFJbB", + "outputId": "6800d12e-fce4-4def-85b1-5f65afdbfd30" + }, + "execution_count": 248, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Reject Null Hypothesis\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conclusion using p-test\n", + "p_value = 2 * (1.0 - norm.cdf(np.abs(t_sc)))\n", + "\n", + "print(\"p_value = \", p_value)\n", + "\n", + "if p_value < alpha:\n", + " print(\"Reject Null Hypothesis\")\n", + "else:\n", + " print(\"Fail to reject Null Hypothesis\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2-Bfuk1WFNr9", + "outputId": "1f6f10d2-7f37-4d5c-b8ec-7904516c1df3" + }, + "execution_count": 249, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "p_value = 1.9201293444126577e-08\n", + "Reject Null Hypothesis\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "##Perform feature transformation:\n", + "\n", + "- For Numerical Features -> Do Column Standardization\n", + "- For Categorical -> if more than 2 categories, use dummy variables. Otherwise\n", + "convert the feature to Binary." + ], + "metadata": { + "id": "OKONPN6JFZ3h" + } + }, + { + "cell_type": "code", + "source": [ + "# Column standardization using MinMax Scaler\n", + "from sklearn.preprocessing import MinMaxScaler\n", + "scaler = MinMaxScaler()\n", + "# Standardizing Salary Column\n", + "scaled_sal = scaler.fit_transform(clean_df['Salary'].values.reshape(-1,1))\n", + "\n", + "# First 10 Scaled Values (Salary column)\n", + "print(scaled_sal[:10])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "QZinsKvEFb4k", + "outputId": "c60224a8-81f9-4e31-e436-b7748961f9fc" + }, + "execution_count": 250, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[[0.68141593]\n", + " [0.82300885]\n", + " [0.51327434]\n", + " [0.2920354 ]\n", + " [0.46902655]\n", + " [0.46902655]\n", + " [1. ]\n", + " [0.34513274]\n", + " [1. ]\n", + " [0.73451327]]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.preprocessing import StandardScaler\n", + "scaler = StandardScaler()\n", + "# Standardizing Salary Column\n", + "scaled_sal = scaler.fit_transform(clean_df['Salary'].values.reshape(-1,1))\n", + "\n", + "# First 20 Scaled Values (Salary column)\n", + "print(scaled_sal[:20])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "BMbvnfXRFp8V", + "outputId": "f7eee347-17e9-4a81-9f13-b4b610dcc305" + }, + "execution_count": 251, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[[ 1.1323581 ]\n", + " [ 1.79462932]\n", + " [ 0.34591102]\n", + " [-0.68888776]\n", + " [ 0.13895127]\n", + " [ 0.13895127]\n", + " [ 2.62246834]\n", + " [-0.44053605]\n", + " [ 2.62246834]\n", + " [ 1.3807098 ]\n", + " [-0.10940044]\n", + " [-0.68888776]\n", + " [ 0.13895127]\n", + " [ 0.55287078]\n", + " [ 0.34591102]\n", + " [-0.27496825]\n", + " [-1.35115898]\n", + " [ 0.34591102]\n", + " [ 0.30451907]\n", + " [-0.68888776]]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# One-hot Encoding of Gender column\n", + "dummies = pd.get_dummies(clean_df[['Gender']])\n", + "dummies" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 424 + }, + "id": "kEUEEW-3GEFb", + "outputId": "de7d0d4c-9ca5-4cf2-898f-698917d038ed" + }, + "execution_count": 252, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Gender_f Gender_m\n", + "0 1 0\n", + "1 0 1\n", + "2 1 0\n", + "4 0 1\n", + "5 0 1\n", + "... ... ...\n", + "3993 0 1\n", + "3994 1 0\n", + "3995 0 1\n", + "3996 1 0\n", + "3997 1 0\n", + "\n", + "[3662 rows x 2 columns]" + ], + "text/html": [ + "\n", + "
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Unnamed: 0IDSalaryDOJDOLDesignationJobCityGenderDOB10percentage...CivilEnggconscientiousnessagreeablenessextraversionnueroticismopeness_to_experiencedesignationcn_salGender_fGender_m
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1train579905500000.09/1/2013 0:00presentassistant managerIndorem10/4/1989 0:0085.40...-1-0.73350.37891.2396-0.107600.8637NaN5.0001
2train810601325000.06/1/2014 0:00presentsystems engineerChennaif8/3/1992 0:0085.00...-10.27181.71090.1637-0.868200.6721NaN3.2510
4train343523200000.03/1/2014 0:003/1/2015 0:00getManesarm2/27/1991 0:0078.00...-1-0.8810-0.2793-1.06970.09163-0.1295NaN2.0001
5train1027655300000.06/1/2014 0:00presentsystem engineerHyderabadm7/2/1992 0:0089.92...-1-0.3027-0.6201-2.2954-0.74150-0.8608NaN3.0001
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Unnamed: 0IDSalaryDOJDOLDesignationJobCityDOB10percentage10board...TelecomEnggCivilEnggconscientiousnessagreeablenessextraversionnueroticismopeness_to_experiencedesignationcn_salGender_f
0train203097420000.06/1/2012 0:00presentsenior quality engineerBangalore2/19/1990 0:0084.30board ofsecondary education,ap...-1-10.97370.81280.52691.35490-0.4455NaN4.201
1train579905500000.09/1/2013 0:00presentassistant managerIndore10/4/1989 0:0085.40cbse...-1-1-0.73350.37891.2396-0.107600.8637NaN5.000
2train810601325000.06/1/2014 0:00presentsystems engineerChennai8/3/1992 0:0085.00cbse...-1-10.27181.71090.1637-0.868200.6721NaN3.251
4train343523200000.03/1/2014 0:003/1/2015 0:00getManesar2/27/1991 0:0078.00cbse...-1-1-0.8810-0.2793-1.06970.09163-0.1295NaN2.000
5train1027655300000.06/1/2014 0:00presentsystem engineerHyderabad7/2/1992 0:0089.92state board...-1-1-0.3027-0.6201-2.2954-0.74150-0.8608NaN3.000
..................................................................
3993train47916280000.010/1/2011 0:0010/1/2012 0:00software engineerNew Delhi4/15/1987 0:0052.09cbse...-1-1-0.10820.34480.23660.64980-0.9194NaN2.800
3994train752781100000.07/1/2013 0:007/1/2013 0:00technical writerHyderabad8/27/1992 0:0090.00state board...-1-1-0.30270.87840.93220.77980-0.0943NaN1.001
3995train355888320000.07/1/2013 0:00presentassociate software engineerBangalore7/3/1991 0:0081.86bse,odisha...-1-1-1.5765-1.5273-1.5051-1.31840-0.7615NaN3.200
3996train947111200000.07/1/2014 0:001/1/2015 0:00software developerAsifabadbanglore3/20/1992 0:0078.72state board...-1-1-0.15900.0459-0.4511-0.36120-0.0943NaN2.001
3997train324966400000.02/1/2013 0:00presentsenior systems engineerChennai2/26/1991 0:0070.60cbse...-1-1-1.1128-0.2793-0.63431.32553-0.6035NaN4.001
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board,7738,2,B.Tech/B.E.,information technology,80,7738,0,Uttar Pradesh,2013,475,470,415,0.911395278391328,595,-1,500,-1,-1,-1,-1,0.8463,1.0449,1.3933,-1.6289,-0.2859 +train,43693,205000.00,12/1/2011 0:00,present,electrical engineer,Chennai,m,3/5/1989 0:00,84.6,0,2006,66.5,0,417,2,B.Tech/B.E.,electronics and electrical engineering,66.7,417,1,Tamil Nadu,2010,345,255,395,0.0587928000083534,195,200,-1,-1,-1,-1,-1,-0.1082,0.0328,-0.1988,0.2973,-0.7615 +train,836781,310000.00,6/1/2013 0:00,present,software engineer,Pune,m,11/26/1989 0:00,79,state board,2008,76.4,state board,11583,2,B.Tech/B.E.,electronics and communication engineering,65,11583,0,Maharashtra,2012,605,510,515,-1,345,-1,346,-1,-1,-1,-1,1.7081,0.8784,1.547,-1.6289,-0.0943 +train,682615,300000.00,9/1/2014 0:00,present,qa analyst,-1,f,3/6/1991 0:00,62,cbse,2012,61,cbse,2637,2,B.Tech/B.E.,computer engineering,70,2637,0,Haryana,2013,250,305,385,0.10487135986097,275,-1,-1,-1,-1,-1,-1,-0.5116,0.8229,0.8809,0.0192,1.6302 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board,2008,61,state board,982,2,B.Tech/B.E.,computer science & engineering,62.2,982,1,Rajasthan,2013,440,375,330,0.23780283983757,455,-1,315,-1,-1,-1,-1,-1.7389,-1.2861,-0.4511,0.7798,-1.8189 +train,30122,100000.00,7/1/2011 0:00,5/1/2012 0:00,web developer,Noida,m,7/20/1985 0:00,51,up board,2004,48,up board,350,2,MCA,computer application,59,350,0,Uttar Pradesh,2010,275,365,395,0.525922584252055,415,-1,-1,-1,-1,-1,-1,0.2009,-0.2793,0.2366,1.4724,0.0284 +train,985092,510000.00,9/1/2014 0:00,present,application engineer,Noida,m,9/1/1991 0:00,79.6,cbse,2009,73.2,cbse,4948,2,B.Tech/B.E.,electronics and communication engineering,66.96,4948,1,Rajasthan,2014,535,640,630,0.338786347219528,-1,292,-1,-1,-1,-1,-1,-1.1644,0.2124,0.3174,0.9066,-0.4776 +train,1059903,300000.00,7/1/2012 0:00,present,production engineer,Indore,m,12/8/1989 0:00,63.4,state board,2008,63,state board,6595,2,B.Tech/B.E.,electronics & instrumentation eng,69.3,6595,0,Madhya 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engineering,70,5666,1,Telangana,2016,665,460,570,0.144789889482462,445,-1,284,-1,-1,-1,-1,0.4155,0.3789,-0.1437,-0.7415,-0.2859 +train,50876,640000.00,4/1/2010 0:00,present,programmer analyst,Bangalore,m,4/24/1987 0:00,78,0,2004,71.3,0,5400,2,B.Tech/B.E.,information technology,67,5400,0,Madhya Pradesh,2009,455,605,625,0.916869961103619,555,-1,-1,-1,-1,-1,-1,-0.2628,-0.5913,0.2366,-0.1727,0.8183 +train,815219,330000.00,12/1/2013 0:00,4/1/2015 0:00,software engineer,Chennai,m,1/13/1992 0:00,76.17,state board,2009,72,cbse,10991,2,B.Tech/B.E.,computer science & engineering,78,10991,0,Rajasthan,2013,510,535,605,0.819416529835888,505,-1,-1,-1,-1,-1,-1,0.4155,-0.7866,-1.2196,1.1601,-1.8189 +train,794194,225000.00,7/1/2014 0:00,7/1/2015 0:00,system engineer,THANE,m,12/25/1990 0:00,82.4,cbse,2010,72,cbse,8350,2,B.Tech/B.E.,electronics and communication engineering,64.06,8350,0,Uttar Pradesh,2014,485,525,545,0.338786347219528,-1,292,-1,-1,-1,-1,-1,-0.0154,0.3789,0.6248,0.9066,0.6721 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0:00,76,cbse,2008,76.6,cbse,12104,2,B.Tech/B.E.,computer engineering,77.58,12104,0,Haryana,2012,595,645,495,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-2.5811,-0.2012,0.5994,0.1798,0.1864 +train,302031,270000.00,1/1/2013 0:00,10/1/2013 0:00,network engineer,Mysore,m,10/15/1988 0:00,60.4,cbse,2006,60,cbse,75,2,B.Tech/B.E.,electronics and communication engineering,62,75,0,Uttar Pradesh,2010,395,425,395,0.655766942617211,-1,-1,-1,-1,-1,366,-1,-0.2628,0.3448,-0.1988,0.5323,0.6603 +train,823180,300000.00,6/1/2014 0:00,present,java software engineer,Noida,m,1/29/1993 0:00,74.23,state board,2010,77.77,state board,272,2,B.Tech/B.E.,computer science & engineering,75.6,272,0,Punjab,2014,475,435,430,0.819416529835888,505,-1,-1,-1,-1,-1,-1,0.2718,1.0449,0.1637,0.1459,0.8637 +train,312164,1200000.00,7/1/2010 0:00,7/1/2011 0:00,engineer trainee,Maharajganj,m,4/25/1988 0:00,59.8,icse,2006,60.25,isc,5690,2,B.Tech/B.E.,mechanical engineering,68.63,5690,0,Uttar 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0:00,present,sap consultant,Thiruvananthapuram,m,5/10/1990 0:00,86.4,cbse,2008,80.4,cbse,1275,2,B.Tech/B.E.,computer engineering,61.54,1275,0,Kerala,2012,585,505,605,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.51,0.5008,-0.4891,-0.8778,0.1864 +train,206734,675000.00,11/1/2011 0:00,present,senior software engineer,Noida,m,11/7/1988 0:00,60,0,2004,59,0,144,2,B.Tech/B.E.,computer engineering,67,144,0,Uttar Pradesh,2011,515,555,425,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.880999999999999,-0.2793,-0.6343,-0.6428,-2.9731 +train,1044420,120000.00,11/1/2014 0:00,4/1/2015 0:00,.net developer,Punchkula,m,11/14/1992 0:00,60.8,state board,2009,63,state board,8116,2,B.Tech/B.E.,information technology,68,8116,1,Tamil Nadu,2014,440,400,310,0.144789889482462,345,-1,284,-1,-1,-1,-1,0.4155,-1.1196,0.7785,-0.1076,-0.2859 +train,902366,325000.00,9/1/2014 0:00,present,software engineer,Greater Noida,m,1/10/1992 0:00,82.8,cbse,2009,73.6,cbse,3918,2,B.Tech/B.E.,computer science & 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0:00,88.2,cbse,2010,78.2,cbse,16063,2,B.Tech/B.E.,control and instrumentation engineering,82.1,16063,0,Orissa,2014,630,555,520,-1,425,292,-1,-1,-1,-1,-1,0.99,1.5444,-0.4511,-1.3753,-0.8608 +train,1171130,325000.00,1/1/2015 0:00,present,software engineer,Noida,m,3/21/1992 0:00,80.6,cbse,2010,80.6,cbse,28,2,B.Tech/B.E.,computer science & engineering,70.3,28,1,Delhi,2014,475,460,570,0.992259189330951,665,-1,-1,-1,-1,-1,-1,-2.0262,-0.7866,0.01,-0.2344,-1.0524 +train,918301,450000.00,8/1/2014 0:00,present,entry level management trainee,-1,m,3/25/1993 0:00,85,cbse,2010,87,state board,11135,1,B.Tech/B.E.,electronics and communication engineering,87.8,11135,1,Karnataka,2014,730,610,695,0.976292560913216,-1,484,-1,-1,446,-1,-1,-0.0154,0.2124,-0.1437,-0.7415,0.6721 +train,457244,360000.00,4/1/2013 0:00,present,software engineer,Bangalore,m,6/3/1991 0:00,82,state board,2008,70.16,state board,2353,2,B.Tech/B.E.,computer science & 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intermediate,4415,2,B.Tech/B.E.,information technology,65.6,4415,1,Telangana,2012,415,365,515,0.0745462652358558,255,-1,-1,-1,-1,-1,-1,0.2009,-0.2793,0.672,1.8249,-0.0506 +train,543139,110000.00,4/1/2014 0:00,6/1/2014 0:00,engineer,new delhi - jaisalmer,m,11/6/1990 0:00,66.8,cbse,2009,59.9,cbse,172,2,B.Tech/B.E.,electronics and instrumentation engineering,65.4,172,0,Uttar Pradesh,2013,265,520,370,0.694479327708463,-1,366,-1,-1,-1,-1,-1,-1.4606,-0.2793,-0.9245,1.0611,-0.7615 +train,627921,510000.00,5/1/2013 0:00,present,senior software engineer,Pune,m,11/15/1991 0:00,79.8,cbse,2008,75.6,cbse,5238,2,B.Tech/B.E.,electronics and communication engineering,61.9,5238,0,Haryana,2012,405,620,620,0.376059586651545,395,300,-1,-1,-1,-1,-1,1.1336,1.0449,0.4711,-0.4879,0.2889 +train,552848,120000.00,6/1/2013 0:00,1/1/2014 0:00,android developer,New Delhi,f,12/11/1991 0:00,88,cbse,2009,87.8,cbse,13,1,B.Tech/B.E.,electronics and communication 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0:00,12/1/2014 0:00,java developer,Chennai,f,6/26/1993 0:00,80,state board,2010,79.2,state board,16183,2,B.Tech/B.E.,computer science & engineering,71.4,16183,0,Andhra Pradesh,2014,395,420,270,0.486747008438193,415,-1,376,-1,-1,-1,-1,0.5591,0.7119,1.2396,-0.7415,-0.2859 +train,390177,500000.00,8/1/2012 0:00,present,senior software engineer,Bangalore,m,1/26/1990 0:00,71,j & k bord,2008,75,j & k board,10342,2,B.Tech/B.E.,electronics and communication engineering,81.02,10342,1,Karnataka,2012,575,455,605,0.538386892985096,-1,333,-1,-1,-1,340,-1,-0.7264,-0.9033,-0.4891,-0.1727,-1.3539 +train,274730,230000.00,7/1/2011 0:00,7/1/2013 0:00,mobile application developer,Ahmedabad,m,7/15/1990 0:00,65.3,up board,2006,68.4,up board,10932,2,B.Tech/B.E.,information technology,70.32,10932,0,Uttar Pradesh,2011,405,565,535,0.819416529835888,505,-1,-1,-1,-1,-1,-1,-0.1082,-0.5913,-0.4891,-1.1128,-1.8673 +train,190981,550000.00,7/1/2011 0:00,7/1/2013 0:00,software engineer,-1,m,11/18/1989 0:00,94.6,icse,2006,83,cbse,11157,1,B.Tech/B.E.,computer engineering,84,11157,0,Jharkhand,2011,695,625,725,0.995464718630865,685,-1,-1,-1,-1,-1,-1,-1.1901,0.3448,-1.9405,-0.7603,0.0284 +train,196759,415000.00,4/1/2012 0:00,present,test engineer,Noida,f,9/17/1989 0:00,75,cbse,2006,68,cbse,184,2,B.Tech/B.E.,computer engineering,71.72,184,0,Uttar Pradesh,2011,445,475,515,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-1.0355,-0.9033,-0.1988,-0.5253,0.5024 +train,1081710,320000.00,7/1/2014 0:00,present,systems engineer,Kochi/Cochin,m,11/20/1992 0:00,83.33,cbse,2010,80.3,cbse,16186,1,B.Tech/B.E.,mechanical engineering,76,16186,0,Andhra Pradesh,2014,720,580,645,0.725984147969479,-1,-1,-1,438,-1,-1,-1,1.2772,1.2114,1.3933,-2.0092,-0.0943 +train,919397,350000.00,9/1/2014 0:00,present,assistant system engineer,Gurgaon,m,7/24/1992 0:00,82.6,cbse,2010,81.4,cbse,48,1,B.Tech/B.E.,electronics and communication 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Nadu,2014,535,590,430,0.338786347219528,325,292,-1,-1,-1,-1,-1,1.2772,-0.2871,-0.2974,-1.6289,0.0973 +train,423209,180000.00,11/1/2013 0:00,12/1/2014 0:00,software test engineer,Noida,m,1/1/1988 0:00,55,up board,2005,68,up board,8718,2,B.Tech/B.E.,computer science & engineering,59,8718,0,Uttar Pradesh,2012,475,415,435,0.486747008438193,385,-1,376,-1,-1,-1,-1,-0.7651,0.0328,0.0914,1.4136,0.0284 +train,421588,120000.00,10/1/2013 0:00,7/1/2013 0:00,web developer,Noida,f,8/5/1990 0:00,74,state board,2007,60,state board,79,2,B.Tech/B.E.,computer engineering,71.88,79,0,Uttar Pradesh,2012,415,535,485,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.5719,0.1888,0.2366,0.2973,-0.2875 +train,1171272,100000.00,11/1/2013 0:00,4/1/2015 0:00,electronic field service engineer,-1,m,2/20/1992 0:00,86.62,state board,2009,62.2,state board,10126,2,B.Tech/B.E.,electronics and communication engineering,65.01,10126,0,Gujarat,2013,420,545,380,0.493596387301038,-1,324,-1,-1,-1,260,-1,0.5591,-0.2871,0.1637,-1.1218,0.6721 +train,325611,220000.00,5/1/2014 0:00,present,process associate,Bangalore,m,11/13/1988 0:00,69.13,wbbse,2007,64.4,wbchse,254,2,B.Tech/B.E.,information technology,76.3,254,1,West Bengal,2012,365,355,555,0.488347976782714,405,-1,-1,-1,-1,-1,-1,-0.2628,-0.5523,-0.2714,0.29733,-0.2875 +train,1163951,300000.00,4/1/2013 0:00,present,java software engineer,Bangalore,m,7/22/1991 0:00,89.12,state board,2009,68,state board,315,2,B.Tech/B.E.,computer science & engineering,74,315,1,Karnataka,2013,465,545,520,0.744758354008939,595,-1,438,-1,-1,-1,-1,0.4155,-0.7866,-0.6048,-1.8824,-2.3937 +train,348134,410000.00,7/1/2013 0:00,7/1/2015 0:00,systems engineer,Chennai,m,12/13/1990 0:00,91.6,ssc,2008,91.6,intermediate board of andhra pardesh,3666,2,B.Tech/B.E.,information technology,73.7,3666,0,Andhra Pradesh,2012,495,545,565,0.735795709224656,475,500,-1,-1,-1,-1,-1,-0.7264,-0.7473,-0.0537,-0.1727,-0.8799 +train,330102,100000.00,9/1/2012 0:00,10/1/2014 0:00,firmware engineer,Hyderabad,f,9/3/1990 0:00,87.5,ssc,2008,95.3,board of intermediate,11183,2,B.Tech/B.E.,electronics and communication engineering,80.95,11183,1,Telangana,2012,425,465,535,0.538386892985096,335,333,-1,-1,-1,446,-1,0.3941,0.6568,-1.0697,0.0917,0.3444 +train,1196014,180000.00,8/1/2014 0:00,1/1/2015 0:00,android developer,Noida,m,3/18/1992 0:00,73,state board,2009,69,state board,55,2,B.Tech/B.E.,information technology,65.5,55,0,Uttar Pradesh,2014,465,480,415,0.622642915849938,435,-1,407,-1,-1,-1,-1,0.1282,-0.1206,0.3174,0.653,-0.6692 +train,133085,445000.00,3/1/2011 0:00,4/1/2014 0:00,system engineer,Mumbai,m,12/25/1988 0:00,66.4,cbse,2006,69.8,cbse,12,2,B.Tech/B.E.,electronics and communication engineering,66.33,12,1,Delhi,2010,595,545,575,0.910770164246022,545,433,-1,-1,-1,-1,-1,-0.4173,-0.7473,-2.2308,0.6498,0.0284 +train,329402,265000.00,7/1/2012 0:00,7/1/2014 0:00,software engineer,Bangalore,f,5/18/1991 0:00,80.33,ssc,2008,86.9,board of intermediate,11656,2,B.Tech/B.E.,computer engineering,71.02,11656,0,Andhra Pradesh,2012,365,515,375,0.884122511593735,535,-1,-1,-1,-1,-1,-1,0.51,0.6178,-0.2714,-0.8778,0.0284 +train,277307,215000.00,9/1/2013 0:00,3/1/2015 0:00,senior software engineer,Gurgaon,m,10/10/1989 0:00,75.2,cbse,2006,73.4,cbse,75,2,B.Tech/B.E.,computer engineering,72.4,75,0,Uttar Pradesh,2011,505,575,615,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-1.9629,-1.0593,-0.7794,0.7673,-0.6035 +train,984958,285000.00,8/1/2014 0:00,4/1/2015 0:00,technical support engineer,Jaipur,m,10/5/1991 0:00,50.6,cbse,2009,56.9,state board,4948,2,B.Tech/B.E.,computer science & engineering,60.01,4948,1,Rajasthan,2014,350,335,400,0.23780283983757,375,-1,315,-1,-1,-1,-1,-0.0154,0.2124,-0.1437,-1.2486,1.247 +train,1069569,300000.00,6/1/2014 0:00,8/1/2014 0:00,technical support engineer,-1,m,7/13/1993 0:00,81.1,state board,2010,86.7,state board,11090,2,B.Tech/B.E.,computer science & engineering,70.51,11090,1,Telangana,2014,500,350,320,0.635978756456794,445,-1,-1,-1,-1,-1,-1,1.5644,0.8784,0.7785,-1.5021,0.6721 +train,1088625,275000.00,12/1/2014 0:00,present,software engineer,Bangalore,m,5/7/1990 0:00,60.14,state board,2008,60,state board,2921,2,B.Tech/B.E.,information technology,77,2921,0,West Bengal,2014,455,485,510,0.622642915849938,435,-1,407,-1,-1,-1,-1,-0.159,0.0459,0.3174,-1.2486,1.0554 +train,633535,265000.00,9/1/2013 0:00,1/1/2014 0:00,.net developer,Noida,f,3/21/1992 0:00,84.6,cbse,2009,64.7,cbse,11630,2,B.Tech/B.E.,information technology,73,11630,0,Uttar Pradesh,2013,475,595,470,0.819416529835888,505,-1,-1,-1,-1,-1,-1,1.4208,0.7119,-0.4511,-0.995,0.8637 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0:00,77.66,state board,2009,90.7,state board,15854,2,B.Tech/B.E.,computer science & engineering,69.5,15854,1,Telangana,2013,580,580,560,0.23780283983757,455,-1,315,-1,-1,-1,-1,-2.1698,-0.1206,0.3174,-0.4879,0.0973 +train,60259,220000.00,9/1/2010 0:00,6/1/2013 0:00,field service engineer,Gurgaon,m,9/25/1988 0:00,86,pseb,2007,81,cbse,501,2,B.Tech/B.E.,electronics and instrumentation engineering,72,501,0,Uttar Pradesh,2010,515,345,615,0.229481754911755,-1,266,-1,-1,-1,-1,-1,-1.8083,0.0328,-2.2308,-0.7603,-0.9194 +train,721591,215000.00,6/1/2013 0:00,3/1/2015 0:00,software developer,Pune,f,8/25/1992 0:00,78,state board,2009,78,state board,12618,2,B.Tech/B.E.,information technology,66,12618,0,Andhra Pradesh,2013,405,410,340,0.308400582860308,355,-1,-1,-1,-1,-1,-1,-0.7335,0.3789,0.9322,1.794,0.8637 +train,662113,180000.00,7/1/2013 0:00,4/1/2015 0:00,electrical project engineer,Bankura,m,11/5/1990 0:00,71,state board,2008,63,state board,13040,2,B.Tech/B.E.,electrical engineering,79.9,13040,1,West Bengal,2013,395,510,590,0.661834475840071,-1,-1,-1,-1,446,-1,-1,0.5591,0.2124,0.7785,0.5262,-1.6273 +train,466683,95000.00,5/1/2013 0:00,1/1/2014 0:00,.net developer,Bangalore,m,4/20/1990 0:00,64.48,0,2008,57,0,1109,2,B.Tech/B.E.,computer engineering,68.23,1109,1,Karnataka,2012,335,575,425,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.51,0.6568,0.2366,-1.4653,-0.0506 +train,1243402,245000.00,6/1/2014 0:00,present,software engineer,Bengaluru,m,4/26/1992 0:00,81,state board,2009,66,state board,14407,2,B.Tech/B.E.,information science engineering,66,14407,1,Karnataka,2013,580,555,465,0.622642915849938,415,-1,407,-1,-1,-1,-1,1.2772,0.0459,1.2396,-1.5021,1.247 +train,272869,350000.00,3/1/2012 0:00,4/1/2015 0:00,it support specialist,Indore,m,9/11/1987 0:00,62,cbse,2005,62,cbse,3725,2,B.Tech/B.E.,information technology,63,3725,0,Madhya Pradesh,2011,475,395,415,0.190153405601018,315,-1,-1,-1,-1,-1,-1,0.0464,1.1248,0.0914,-0.8778,-0.1295 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board,2342,2,B.Tech/B.E.,electronics and communication engineering,76,2342,1,Tamil Nadu,2012,535,475,415,0.538386892985096,-1,333,-1,-1,-1,286,-1,-0.5719,-0.1232,0.3817,-0.5253,0.5419 +train,1065937,300000.00,7/1/2014 0:00,present,programmer analyst,Pune,m,7/28/1992 0:00,81.2,cbse,2010,71,cbse,14004,2,B.Tech/B.E.,electronics and communication engineering,81,14004,0,Himachal Pradesh,2014,545,680,485,0.112139438207403,525,228,-1,-1,-1,-1,-1,-0.3027,-0.7866,0.01,-0.4879,-1.0524 +train,927996,325000.00,12/1/2014 0:00,9/1/2014 0:00,systems engineer,Mysore ,f,9/16/1992 0:00,85.28,state board,2010,71.5,state board,1964,2,B.Tech/B.E.,electronics & telecommunications,74.98,1964,0,Karnataka,2014,615,525,635,0.112139438207403,335,228,-1,-1,-1,-1,-1,0.5591,-0.2871,0.01,0.653,-4.5015 +train,693698,120000.00,2/1/2013 0:00,5/1/2013 0:00,asp.net developer,Kanpur ,m,11/15/1991 0:00,71.5,up board,2008,70.4,up board,4971,2,B.Tech/B.E.,computer science & engineering,78.44,4971,0,Uttar 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dba,Noida,m,2/13/1991 0:00,87,cbse,2009,70,cbse,33,2,B.Tech/B.E.,information technology,62,33,0,Haryana,2013,710,555,570,0.622642915849938,575,-1,407,-1,-1,-1,-1,-0.5899,-0.7866,-0.9122,0.2727,-0.4776 +train,804042,250000.00,5/1/2013 0:00,5/1/2015 0:00,software engineer,CHENNAI,m,5/7/1988 0:00,88.2,state board,2006,90.67,state board,8646,2,B.Tech/B.E.,information technology,83.93,8646,0,Tamil Nadu,2012,415,620,750,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-0.0154,0.8784,1.2396,-0.3612,0.8637 +train,942851,500000.00,6/1/2014 0:00,4/1/2015 0:00,assistant manager,-1,m,2/13/1990 0:00,82.8,icse,2008,77.8,icse,272,2,B.Tech/B.E.,computer science & engineering,63,272,0,Punjab,2013,695,640,280,-1,-1,-1,-1,-1,-1,-1,-1,-1.3742,0.4934,0.2113,-0.3414,0.1275 +train,988334,110000.00,7/1/2014 0:00,8/1/2014 0:00,web developer,Delhi,m,5/15/1990 0:00,57,cbse,2010,64.5,cbse,6624,2,B.Tech/B.E.,computer science & engineering,65,6624,0,Uttar Pradesh,2014,440,435,210,0.342314899911815,365,-1,-1,-1,-1,-1,-1,1.1336,0.0459,1.2396,0.5262,-0.2859 +train,1009094,560000.00,11/1/2014 0:00,present,software engineer,Bangalore,m,12/17/1991 0:00,89.42,icse,2009,81.2,cbse,4971,2,B.Tech/B.E.,computer science & engineering,71.26,4971,0,Uttar Pradesh,2014,650,555,705,0.819416529835888,505,-1,-1,-1,-1,-1,-1,-0.8772,0.2124,-1.527,0.1459,-1.244 +train,784879,390000.00,9/1/2013 0:00,present,software engineer,Bangalore,m,8/12/1992 0:00,92.5,state board,2009,96.1,state board,1343,2,B.Tech/B.E.,electronics and communication engineering,78,1343,0,Andhra Pradesh,2013,465,605,650,0.783303536670298,365,388,-1,-1,-1,340,-1,-0.159,-1.7856,-0.9122,0.1459,-2.3937 +train,342188,420000.00,4/1/2013 0:00,5/1/2015 0:00,system engineer,Pune,m,11/20/1990 0:00,72.8,0,2008,62.8,0,2563,2,B.Tech/B.E.,information technology,70,2563,0,Uttarakhand,2012,535,535,464,0.308400582860308,355,-1,-1,-1,-1,-1,-1,-0.0696,0.9688,0.0914,-0.78967,0.9763 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0:00,88,cbse,2011,85,cbse,12232,1,B.Tech/B.E.,computer science & engineering,68,12232,1,Delhi,2015,615,605,595,0.525922584252055,415,-1,-1,-1,-1,-1,-1,-2.1698,0.3789,-0.6048,2.301,-0.8608 +train,1122862,300000.00,8/1/2014 0:00,present,java developer,Pune,m,12/27/1990 0:00,81,icse,2009,86,icse,485,2,B.Tech/B.E.,computer science & engineering,74.15,485,0,Uttar Pradesh,2014,520,625,630,0.978799292641428,615,-1,561,-1,-1,-1,-1,-1.0208,-0.2871,0.6248,-0.995,-0.4776 +train,1086480,320000.00,12/1/2014 0:00,present,quality analyst,New Delhi,m,6/9/1993 0:00,79.4,cbse,2010,80.4,cbse,6290,1,B.Tech/B.E.,computer science & engineering,71,6290,0,Himachal Pradesh,2014,545,505,595,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.159,-1.9521,-0.7585,-0.7415,-2.2021 +train,133758,200000.00,6/1/2010 0:00,1/1/2011 0:00,junior software engineer,Kochi,m,6/16/1987 0:00,77.5,wbbse,2006,78.6,wbchse,2066,2,B.Tech/B.E.,computer engineering,82.2,2066,1,West 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0:00,88.6,cbse,2009,91.2,cbse,400,1,B.Tech/B.E.,electronics and communication engineering,77,400,0,Madhya Pradesh,2013,565,605,675,0.824666400671332,425,400,-1,-1,-1,366,-1,-0.3027,0.5454,-0.7585,-0.4879,-0.6692 +train,425471,305000.00,6/1/2012 0:00,4/1/2015 0:00,software developer,Noida,m,8/13/1991 0:00,70,cbse,2008,73.8,cbse,75,2,B.Tech/B.E.,computer engineering,79.12,75,0,Uttar Pradesh,2012,515,555,554,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-1.4992,0.3448,-2.3759,-0.9953,-0.2875 +train,633303,160000.00,11/1/2014 0:00,present,rf engineer,Noida,m,6/3/1993 0:00,71.2,state board,2009,61.6,state board,1982,2,B.Tech/B.E.,electronics and communication engineering,74.26,1982,0,Uttar Pradesh,2013,465,475,515,0.824666400671332,-1,400,-1,-1,-1,-1,-1,-0.159,-0.4536,0.01,-0.8682,0.4805 +train,258837,350000.00,3/1/2012 0:00,present,electrical engineer,Beawar,m,7/28/1988 0:00,80,rbse,2005,75,rbse,11444,2,B.Tech/B.E.,electrical 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0:00,85,cbse,2009,85,cbse,272,2,B.Tech/B.E.,computer science & engineering,65.25,272,0,Punjab,2014,450,525,515,0.622642915849938,515,-1,407,-1,-1,-1,-1,-1.308,-0.6201,-0.7585,0.3995,-1.4356 +train,820734,240000.00,3/1/2015 0:00,present,entry level management trainee,Alwar,m,12/7/1992 0:00,68,state board,2010,56,state board,1129,2,B.Tech/B.E.,electrical engineering,68.4,1129,0,Rajasthan,2014,500,350,400,0.557389505646088,315,228,-1,-1,420,-1,-1,-1.5953,-1.1196,0.7785,0.5262,-1.0524 +train,232430,360000.00,5/1/2012 0:00,present,technical engineer,NOIDA,m,7/10/1990 0:00,80,cbse,2007,75.4,cbse,7600,2,B.Tech/B.E.,electronics and communication engineering,70.66,7600,0,Uttar Pradesh,2011,425,405,495,-1,-1,-1,-1,-1,-1,-1,-1,-3.6631,-0.9033,-2.0856,1.5899,-1.8673 +train,1048553,320000.00,9/1/2014 0:00,present,java software engineer,Bangalore,m,8/5/1992 0:00,74.7,icse,2010,72.4,icse,12926,2,B.Tech/B.E.,computer science & engineering,76.1,12926,0,Punjab,2014,735,605,605,0.790881795278323,494,-1,-1,-1,-1,-1,-1,-0.159,0.0459,0.7785,-0.6147,-0.0943 +train,543951,160000.00,7/1/2013 0:00,present,operations executive,Noida,m,3/18/1992 0:00,79.6,cbse,2009,52,cbse,55,2,B.Tech/B.E.,information technology,60.64,55,0,Uttar Pradesh,2013,465,460,515,0.488347976782714,405,-1,-1,-1,-1,-1,-1,1.1283,1.2808,-0.1988,-1.1128,-0.2875 +train,1218574,350000.00,1/1/2014 0:00,8/1/2014 0:00,trainee engineer,Gurgaon,m,8/1/1991 0:00,69.2,cbse,2008,77.4,cbse,12601,2,MCA,computer application,76.72,12601,1,Delhi,2014,535,630,645,0.999664340267414,695,-1,684,-1,-1,-1,-1,-2.3134,1.0449,0.1637,1.5404,0.0973 +train,845625,150000.00,3/1/2014 0:00,present,recruiter,-1,f,3/13/1992 0:00,85.6,cbse,2010,69.6,cbse,14351,2,B.Tech/B.E.,information technology,76.6,14351,0,Punjab,2014,535,535,400,0.744758354008939,-1,-1,438,-1,-1,-1,-1,-1.1644,-0.2871,-1.6807,0.3995,-1.6273 +train,451903,300000.00,5/1/2014 0:00,present,software engineer,Bangalore,m,7/5/1991 0:00,73,stateboard,2008,81,stateboard,11283,2,B.Tech/B.E.,computer science & engineering,81,11283,0,Tamil Nadu,2012,335,535,495,0.563267823666597,425,-1,-1,-1,-1,-1,-1,1.59199999999999,0.8128,-0.344,-0.1727,-0.0506 +train,542967,320000.00,6/1/2013 0:00,present,software engineer,Noida,m,11/4/1992 0:00,87.4,cbse,2009,84.8,cbse,172,2,B.Tech/B.E.,information technology,74,172,0,Uttar Pradesh,2013,555,585,485,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-1.1901,0.0328,-0.0537,0.6498,-0.643 +train,389348,625000.00,8/1/2012 0:00,present,senior software developer,Noida,m,10/2/1990 0:00,77,central board of secondary education,2008,85,central board of secondary education,29,2,B.Tech/B.E.,computer engineering,78,29,1,Delhi,2012,515,645,545,0.968237495890543,605,-1,-1,-1,-1,-1,-1,-0.5719,1.5538,-0.3803,0.2973,0.0284 +train,216508,205000.00,12/1/2011 0:00,4/1/2015 0:00,lecturer,Greater noida,m,12/1/1988 0:00,65.33,up,2005,56.2,up,350,2,B.Tech/B.E.,electronics and 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0:00,5/1/2014 0:00,software engineer,Pune,f,7/21/1989 0:00,93.4,cbse,2006,75,cbse,472,2,B.Tech/B.E.,information technology,63.7,472,1,Maharashtra,2010,655,615,615,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-1.3447,-0.7473,-1.3599,0.5323,1.1343 +train,1042343,120000.00,2/1/2014 0:00,present,electrical engineer,Siliguri ,m,3/26/1991 0:00,68.5,state board,2009,73.2,state board,2085,2,B.Tech/B.E.,electrical engineering,69,2085,0,West Bengal,2013,350,455,450,0.193768441980019,-1,-1,-1,-1,324,-1,-1,-3.606,-5.6151,-4.6009,-2.0092,-6.9925 +train,1248068,190000.00,9/1/2014 0:00,4/1/2015 0:00,java software engineer,Noida,f,10/25/1991 0:00,73.4,state board,2010,74.45,cbse,5963,2,B.Tech/B.E.,information technology,80,5963,0,Bihar,2014,455,385,460,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.7027,0.7119,-0.1437,-0.4879,0.6721 +train,655515,420000.00,8/1/2013 0:00,present,java software engineer,-1,m,6/30/1991 0:00,86,cbse,2009,76,cbse,165,2,B.Tech/B.E.,computer 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0:00,89.33,icse,2005,80.4,cbse,8460,1,B.Tech/B.E.,electronics and communication engineering,66.49,8460,1,Delhi,2010,635,685,735,0.649389714846691,665,356,-1,-1,-1,-1,-1,1.4208,1.2114,1.7007,-1.7556,0.2889 +train,279824,1000000.00,8/1/2012 0:00,present,asst. manager,Muzaffarpur,m,9/8/1989 0:00,76,up board,2006,74.2,up board,51,2,B.Tech/B.E.,mechanical engineering,76.2,51,0,Uttar Pradesh,2011,445,475,675,0.945134855960355,-1,-1,-1,526,-1,-1,-1,0.9737,0.3448,0.2366,-0.6428,-0.7615 +train,1123118,100000.00,9/1/2014 0:00,4/1/2015 0:00,service engineer,Noida,m,9/12/1993 0:00,75.3,state board,2009,68.4,state board,8346,2,B.Tech/B.E.,electronics and communication engineering,73.2,8346,0,Uttar Pradesh,2014,405,485,545,0.649389714846691,-1,356,-1,-1,-1,-1,-1,0.4155,-0.9531,-0.6048,1.1601,-1.0524 +train,1123185,100000.00,6/1/2014 0:00,8/1/2014 0:00,technical support engineer,Kolkata`,m,10/3/1991 0:00,71.5,state board,2009,62,state board,13697,2,B.Tech/B.E.,computer science & 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board,2009,87.83,state board,1111,2,B.Tech/B.E.,computer science & engineering,81,1111,0,Tamil Nadu,2013,405,420,475,0.842248322257836,475,-1,469,-1,-1,-1,-1,-0.8772,-1.1196,1.0859,-0.8682,-0.4776 +train,627087,500000.00,5/1/2013 0:00,present,business development manager,New Delhi,m,4/8/1991 0:00,84,cbse,2009,78,cbse,66,2,B.Tech/B.E.,electronics and communication engineering,60,66,0,Uttar Pradesh,2013,730,450,530,0.376059586651545,-1,300,-1,-1,-1,-1,-1,-0.0154,0.7119,1.7007,-0.995,-1.244 +train,756514,240000.00,4/1/2014 0:00,1/1/2015 0:00,engineer,Jabalpur,m,10/29/1988 0:00,65,state board,2007,54,state board,4417,2,B.Tech/B.E.,electronics and communication engineering,67,4417,0,Madhya Pradesh,2011,380,425,445,0.338786347219528,-1,292,-1,-1,-1,-1,-1,0.4285,-0.8865,-0.6355,-0.8682,-0.4137 +train,712297,300000.00,8/1/2014 0:00,5/1/2015 0:00,junior research fellow,Jabalpur,m,8/17/1991 0:00,93.5,icse,2009,84.5,cbse,2725,1,B.Tech/B.E.,mechanical engineering,66,2725,0,Madhya 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board,2007,68,cbse,350,2,B.Tech/B.E.,computer engineering,67.84,350,0,Uttar Pradesh,2011,455,385,355,0.190153405601018,315,-1,-1,-1,-1,-1,-1,0.8192,0.3448,0.5269,0.6498,0.6603 +train,611076,325000.00,10/1/2012 0:00,11/1/2014 0:00,software developer,New Delhi,m,9/7/1987 0:00,61,cbse,2006,61,cbse,8160,2,B.Tech/B.E.,information technology,72,8160,0,Haryana,2011,360,460,355,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.7335,-0.6201,-1.0659,1.0333,-1.8189 +train,1171381,240000.00,3/1/2013 0:00,present,web developer,Lucknow,m,9/22/1990 0:00,80,cbse,2008,74,cbse,350,2,B.Tech/B.E.,information technology,58,350,0,Uttar Pradesh,2013,525,590,560,0.942116551485008,575,-1,-1,-1,-1,-1,-1,-0.3027,0.3789,-0.2974,-1.5021,0.2889 +train,82915,380000.00,10/1/2010 0:00,2/1/2014 0:00,software developer,NOIDA,m,2/9/1988 0:00,82.8,icse,2005,75,icse,2987,2,B.Tech/B.E.,computer engineering,79,2987,0,Uttar Pradesh,2010,545,665,635,0.979521744319216,625,-1,-1,-1,-1,-1,-1,0.6646,-0.4353,0.2366,-0.6428,-0.4455 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0:00,present,quality assurance test engineer,Faridabad,m,12/2/1988 0:00,64.4,"jharkhand secondary examination board,ranchi",2008,69,"cbse,new delhi",4948,2,B.Tech/B.E.,electronics and communication engineering,65.7,4948,1,Rajasthan,2011,465,545,385,0.960603251997053,305,466,-1,-1,-1,260,-1,-1.3447,0.9688,-0.4891,2.0599,0.9763 +train,335896,200000.00,11/1/2013 0:00,present,.net developer,Bangalore,m,8/17/1991 0:00,85.4,0,2008,88.7,0,1141,2,B.Tech/B.E.,electronics and communication engineering,62,1141,0,Andhra Pradesh,2012,455,425,545,0.538386892985096,-1,333,-1,-1,-1,286,-1,0.7419,1.9048,-0.0537,0.0035,-0.2875 +train,1245385,200000.00,2/1/2015 0:00,4/1/2015 0:00,web developer,Noida,m,7/1/1991 0:00,72,u p board,2009,72,u p board,51,2,MCA,computer application,70,51,0,Uttar Pradesh,2015,350,375,310,0.622642915849938,335,-1,407,-1,-1,-1,-1,-1.0208,0.2124,1.547,2.0475,1.0554 +train,360290,400000.00,12/1/2013 0:00,4/1/2015 0:00,network engineer,Bangalore,f,8/8/1990 0:00,73.6,0,2008,62.66,0,11425,2,B.Tech/B.E.,information technology,72.22,11425,1,Karnataka,2012,415,385,365,0.793580614548506,495,-1,-1,-1,-1,-1,-1,1.4374,0.9688,0.3817,0.8848,-0.0506 +train,818701,335000.00,5/1/2014 0:00,present,programmer analyst,Chennai,m,12/15/1989 0:00,66,state board,2006,61,state board,9508,2,B.Tech/B.E.,computer science & engineering,72.04,9508,0,Uttar Pradesh,2012,640,500,545,0.953899775079926,464,-1,530,-1,-1,-1,-1,0.5591,1.0449,-0.1437,-0.6147,-0.8608 +train,385547,820000.00,8/1/2012 0:00,present,electrical engineer,-1,m,4/22/1991 0:00,82.4,cbse,2008,76,cbse,100,2,B.Tech/B.E.,electronics and communication engineering,82,100,0,Haryana,2012,585,665,715,0.538386892985096,-1,333,-1,-1,-1,-1,-1,-0.3014,1.1248,-0.0537,-1.3184,0.3444 +train,1189996,100000.00,8/1/2014 0:00,present,production engineer,Indore,m,5/30/1991 0:00,85.17,cbse,2010,76.6,cbse,894,2,B.Tech/B.E.,mechanical engineering,70.04,894,0,Tamil Nadu,2014,710,570,680,0.829584599793067,305,-1,-1,469,-1,-1,-1,-0.3027,0.2124,0.6248,0.2727,-1.4356 +train,958966,190000.00,6/1/2014 0:00,8/1/2014 0:00,java developer,Gurgaon,m,5/16/1992 0:00,68.14,state board,2010,61.7,state board,15863,2,B.Tech/B.E.,computer science & engineering,70.4,15863,1,Rajasthan,2014,520,575,485,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.0154,0.2124,0.4711,0.1459,0.6721 +train,345838,225000.00,6/1/2013 0:00,4/1/2015 0:00,linux systems administrator,Chennai,m,5/29/1991 0:00,89,0,2008,96.7,0,6659,2,B.Tech/B.E.,electronics and communication engineering,92,6659,1,Tamil Nadu,2012,525,475,375,0.0587928000083534,365,200,-1,-1,-1,393,-1,-0.6491,-0.4353,0.672,1.85433,-0.1295 +train,815859,330000.00,8/1/2014 0:00,present,network engineer,Gurgaon,m,11/6/1991 0:00,74,cbse,2010,85,cbse,44,2,B.Tech/B.E.,electronics and communication engineering,65.6,44,0,Uttar Pradesh,2014,615,510,575,0.943272157866555,385,452,-1,-1,-1,-1,-1,0.99,0.5454,0.1637,-1.2486,-0.6692 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board,11759,2,B.Tech/B.E.,computer science & engineering,80,11759,0,Uttarakhand,2013,370,415,470,0.670743151433127,455,-1,-1,-1,-1,-1,-1,1.59199999999999,1.0858,-0.0537,-0.4078,0.0284 +train,445747,180000.00,10/1/2012 0:00,4/1/2015 0:00,operation executive,Noida,m,11/12/1989 0:00,66,icse,2007,69,icse,13210,2,B.Tech/B.E.,information technology,63,13210,0,Uttar Pradesh,2012,735,464,535,0.488347976782714,405,-1,-1,-1,-1,-1,-1,-1.6538,-0.3183,-0.1626,0.6498,-1.2354 +train,289190,340000.00,2/1/2013 0:00,present,software developer,Hyderabad,m,2/3/1993 0:00,71,up board,2008,58,up board,8170,2,B.Tech/B.E.,computer engineering,71,8170,0,Uttar Pradesh,2012,545,295,375,0.342314899911815,365,-1,-1,-1,-1,-1,-1,-0.7264,0.0328,0.5269,-1.1128,-0.2875 +train,48150,495000.00,12/1/2010 0:00,10/1/2013 0:00,systems engineer,Bangalore,m,9/7/1986 0:00,82.5,rbse,2005,83.6,cbse,2857,1,B.Tech/B.E.,computer engineering,77,2857,1,Rajasthan,2010,575,625,615,0.960903087163164,595,-1,-1,-1,-1,-1,-1,0.7208,0.3731,0.0914,-1.9033,0.0916 +train,959981,90000.00,1/1/2013 0:00,6/1/2013 0:00,software developer,Hyderabad,m,3/2/1991 0:00,71.28,icse,2009,68.66,icse,7255,2,B.Tech/B.E.,information technology,72,7255,0,Haryana,2014,450,375,355,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.4155,-0.1206,-0.6048,-0.7415,0.4805 +train,331256,500000.00,7/1/2012 0:00,present,software engineer,-1,f,12/19/1990 0:00,85,ssc,2008,93,ipe,9769,2,B.Tech/B.E.,information technology,76.12,9769,1,Telangana,2012,545,465,685,0.930370607202691,565,-1,-1,-1,-1,-1,-1,0.0464,0.3448,0.5269,-1.1128,0.4234 +train,909112,190000.00,6/1/2013 0:00,8/1/2014 0:00,telecom engineer,New Delhi,m,8/10/1990 0:00,65,state board,2007,64,state board,15349,2,B.Tech/B.E.,electronics and communication engineering,72.14,15349,0,Uttar Pradesh,2013,500,500,370,0.655766942617211,-1,-1,-1,-1,-1,366,-1,1.5644,0.5454,0.1637,-1.6289,1.0554 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0:00,77.8,icse,2007,74,cbse,14169,2,B.Tech/B.E.,computer science & engineering,67.3,14169,0,Uttar Pradesh,2012,554,595,544,0.901489571371033,545,-1,-1,-1,-1,-1,-1,-0.5719,-0.2012,-0.3803,0.29733,-0.4455 +train,542295,180000.00,8/1/2014 0:00,4/1/2015 0:00,electrical project engineer,-1,m,6/23/1990 0:00,62.1,state board,2008,66,state board,350,2,B.Tech/B.E.,electronics and electrical engineering,74.74,350,0,Uttar Pradesh,2013,300,410,430,0.336185066042399,-1,-1,-1,-1,366,-1,-1,0.9737,-0.2793,-1.5051,-0.349,-0.9194 +train,1251681,450000.00,8/1/2014 0:00,present,software engineer,Hyderabad,m,8/31/1992 0:00,78,icse,2010,70,icse,14483,2,B.Tech/B.E.,computer science & engineering,82.5,14483,1,West Bengal,2014,545,555,390,0.744758354008939,595,-1,438,-1,-1,-1,-1,0.4155,0.3789,0.6248,-1.6289,-0.4776 +train,374790,380000.00,5/1/2013 0:00,present,application developer,Pune,m,11/8/1988 0:00,84.4,cbse,2008,73.8,cbse,1920,2,B.Tech/B.E.,computer science & engineering,73.98,1920,0,Uttar 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engineering,74.6,14351,0,Punjab,2014,545,570,455,0.600057182338341,435,-1,-1,-1,-1,-1,-1,1.1336,0.3789,0.1637,0.0192,-0.6692 +train,1101730,370000.00,4/1/2014 0:00,4/1/2015 0:00,software engineer,Bangalore,m,1/25/1992 0:00,78,icse,2009,69,icse,2085,2,B.Tech/B.E.,computer science & engineering,70,2085,0,West Bengal,2013,650,545,620,0.744758354008939,545,-1,438,-1,-1,-1,-1,0.99,-0.1206,0.01,-0.6147,1.0554 +train,1152563,310000.00,4/1/2014 0:00,present,software engineer,Navi Mumbai,m,3/16/1993 0:00,72.6,cbse,2009,69.4,cbse,13149,2,B.Tech/B.E.,electronics and communication engineering,72.14,13149,0,Maharashtra,2013,650,605,620,0.279258511565122,475,-1,-1,-1,-1,292,-1,0.8463,0.8784,0.1637,-1.7556,-0.4776 +train,661581,180000.00,6/1/2013 0:00,7/1/2014 0:00,android developer,-1,m,10/1/1989 0:00,60,state board,2009,55.2,cbse,12289,2,B.Tech/B.E.,computer engineering,71.6,12289,1,Rajasthan,2013,590,525,605,0.942116551485008,575,-1,-1,-1,-1,-1,-1,0.2718,1.0449,1.547,-0.2344,1.6302 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0:00,85,cbse,2009,80.6,cbse,44,2,B.Tech/B.E.,computer science & engineering,71.06,44,0,Uttar Pradesh,2013,640,475,560,0.413838255788123,385,-1,-1,-1,-1,-1,-1,1.7081,1.3779,1.547,-2.5163,0.6721 +train,345800,400000.00,12/1/2014 0:00,present,assistant manager,Jamshedpur,m,7/22/1989 0:00,82.4,cbse,2007,72.4,cbse,6659,2,B.Tech/B.E.,electronics and communication engineering,82.48,6659,1,Tamil Nadu,2012,535,505,615,0.694479327708463,385,366,-1,-1,-1,393,-1,0.3941,-0.5913,-0.4891,0.70853,-0.9194 +train,919418,180000.00,2/1/2015 0:00,present,software developer,Noida,m,4/2/1992 0:00,81,cbse,2010,68,cbse,7376,2,B.Tech/B.E.,computer science & engineering,63.4,7376,0,Uttar Pradesh,2014,570,435,265,0.744758354008939,365,-1,438,-1,-1,-1,-1,-1.8825,-1.1196,-0.4511,0.0192,-0.8608 +train,468092,120000.00,11/1/2014 0:00,5/1/2015 0:00,network engineer,Indore,m,7/27/1990 0:00,68.6,cbse,2008,64.3,cbse,11143,2,B.Tech/B.E.,electronics and communication engineering,73.5,11143,0,Madhya 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telecommunications,85.2,495,1,Telangana,2010,585,665,635,0.376059586651545,535,300,-1,-1,-1,-1,-1,0.51,0.9688,0.8171,-0.5253,0.6603 +train,205705,500000.00,9/1/2011 0:00,present,systems engineer,Kolkata,f,4/26/1989 0:00,68,0,2007,65,0,5508,2,B.Tech/B.E.,information technology,74,5508,0,Orissa,2011,535,445,525,0.342314899911815,365,-1,-1,-1,-1,-1,-1,-0.4173,0.3448,0.672,1.5899,-0.1295 +train,242211,400000.00,10/1/2011 0:00,present,programmer analyst,Pune,f,1/4/1990 0:00,87,0,2010,78.8,0,501,2,B.Tech/B.E.,information technology,71.46,501,0,Uttar Pradesh,2011,645,565,535,0.563267823666597,425,-1,-1,-1,-1,-1,-1,0.51,1.1248,-0.0537,0.4148,0.5024 +train,1077591,240000.00,10/1/2013 0:00,4/1/2015 0:00,associate software engineer,Bangalore,m,8/15/1989 0:00,87,cbse,2008,75,cbse,17199,2,B.Tech/B.E.,computer science & engineering,68.62,17199,0,Uttar Pradesh,2013,560,555,535,0.622642915849938,535,-1,407,-1,-1,-1,-1,-0.5899,-0.9531,0.01,0.0192,-1.0524 +train,276911,410000.00,1/1/2012 0:00,present,system engineer,Noida,m,7/13/1989 0:00,77.5,board of secondary education rajasthan,2007,77.38,board of secondary education rajasthan,2927,2,B.Tech/B.E.,computer engineering,75.66,2927,1,Rajasthan,2011,525,585,575,0.987207085890868,645,-1,-1,-1,-1,-1,-1,-1.9629,0.9688,0.3817,-0.2902,-0.1295 +train,78723,425000.00,10/1/2010 0:00,11/1/2013 0:00,project engineer,Bangalore,m,8/23/1987 0:00,81.2,cbse,2005,68.4,cbse,1920,2,B.Tech/B.E.,information technology,67.98,1920,0,Uttar Pradesh,2010,505,525,525,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.7264,1.1248,0.0914,2.53,0.8183 +train,1251095,150000.00,8/1/2013 0:00,present,operations manager,New Delhi,f,11/11/1992 0:00,79.33,state board,2008,71,state board,973,2,B.Tech/B.E.,electronics and communication engineering,70.08,973,0,Uttar Pradesh,2013,405,470,450,0.493596387301038,325,324,-1,-1,-1,-1,-1,1.4208,0.2124,0.4711,-0.995,0.8637 +train,345016,180000.00,3/1/2014 0:00,4/1/2015 0:00,data analyst,Gurga,m,1/11/1990 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0:00,systems engineer,Chennai,m,5/6/1987 0:00,79,cbse,2005,66,cbse,347,2,B.Tech/B.E.,information technology,90,347,0,Uttar Pradesh,2010,535,445,525,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.6749,0.0328,-0.3803,0.4442,-0.4139 +train,238294,445000.00,8/1/2011 0:00,present,senior software developer,Bangalore,m,1/2/1990 0:00,83,cbse,2006,72,cbse,448,2,B.Tech/B.E.,information technology,68,448,1,Tamil Nadu,2011,445,575,585,0.952245572924303,585,-1,-1,-1,-1,-1,-1,-0.2628,1.2808,0.2366,0.1798,0.8183 +train,595058,500000.00,9/1/2012 0:00,present,senior software engineer,Coimbatore,f,2/19/1989 0:00,87.63,matriculation,2006,79.83,matriculation,6503,2,MCA,computer application,89,6503,0,Tamil Nadu,2012,430,525,425,0.901489571371033,545,-1,-1,-1,-1,-1,-1,-0.3027,-1.2861,0.01,2.1743,-1.4356 +train,1094706,450000.00,3/1/2015 0:00,present,data scientist,Bangalore,m,5/27/1997 0:00,89,state board,2010,95.4,state board,13941,2,B.Tech/B.E.,mechanical 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0:00,1/1/2014 0:00,application developer,Bangalore,m,5/12/1989 0:00,79.6,state board,2006,68.2,state board,6229,2,MCA,computer application,65,6229,1,Telangana,2012,605,485,560,0.144789889482462,435,-1,284,-1,-1,-1,-1,-0.4463,0.5454,0.01,-0.8682,0.0973 +train,133282,160000.00,3/1/2011 0:00,1/1/2012 0:00,client services associate,New Delhi,m,10/15/1987 0:00,70,cbse,2006,60,cbse,4948,2,B.Tech/B.E.,information technology,65,4948,1,Rajasthan,2010,495,515,495,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.4173,0.1888,1.688,-0.0552,0.8183 +train,52503,240000.00,6/1/2009 0:00,2/1/2010 0:00,software engineer,Bangalore,m,3/13/1987 0:00,89.76,karantaka secondary education and examination borad,2005,77.3,department of pre-university education,78,2,B.Tech/B.E.,electronics and communication engineering,63.77,78,0,Uttar Pradesh,2009,445,615,465,0.694479327708463,455,366,-1,-1,-1,-1,-1,0.51,1.2808,0.5269,-0.7603,0.3444 +train,1077909,300000.00,2/1/2014 0:00,present,systems engineer,Pune,m,8/18/1991 0:00,84.14,state board,2009,81.17,state board,3496,2,B.Tech/B.E.,electronics & telecommunications,68.05,3496,0,Maharashtra,2013,580,615,545,-1,565,-1,-1,-1,-1,-1,-1,1.2772,0.7119,1.547,-0.995,0.4805 +train,211812,245000.00,10/1/2012 0:00,2/1/2015 0:00,manual tester,Noida,m,8/7/1990 0:00,76,hbsc,2007,64.8,cbse,378,2,B.Tech/B.E.,computer engineering,65,378,0,Haryana,2011,425,445,485,0.488347976782714,405,-1,-1,-1,-1,-1,-1,-1.1901,-0.5913,-0.344,1.0024,-0.1295 +train,978959,240000.00,6/1/2014 0:00,3/1/2015 0:00,maintenance engineer,-1,m,7/14/1992 0:00,88.17,state board,2010,81.12,state board,8743,2,B.Tech/B.E.,electrical and power engineering,64.61,8743,0,Maharashtra,2014,630,570,810,-1,-1,-1,-1,-1,-1,-1,-1,1.9953,1.3779,1.0859,-1.3753,1.0554 +train,820152,110000.00,1/1/2014 0:00,present,software developer,Kolkata,m,11/6/1991 0:00,59.6,cbse,2008,60,cbse,14381,2,B.Tech/B.E.,computer engineering,81.4,14381,1,West 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0:00,77.4,cbse,2010,74.8,cbse,165,2,B.Tech/B.E.,information technology,74.3,165,1,Rajasthan,2014,345,560,485,0.486747008438193,445,-1,376,-1,-1,-1,-1,0.7027,1.2114,0.3174,0.3995,0.6721 +train,1250499,185000.00,5/1/2014 0:00,6/1/2014 0:00,business analyst consultant,Hyderabad,m,8/20/1993 0:00,76.5,state board,2010,74.5,state board,11556,2,B.Tech/B.E.,electronics and electrical engineering,60,11556,0,Andhra Pradesh,2014,455,520,405,0.684565067658204,345,-1,-1,-1,452,-1,-1,0.4155,0.2124,0.4711,-0.4879,0.2889 +train,1122901,245000.00,6/1/2013 0:00,4/1/2015 0:00,android developer,Ghaziabad,m,4/11/1989 0:00,66.67,state board,2006,76,state board,70,2,B.Tech/B.E.,electronics and communication engineering,73.46,70,0,Uttar Pradesh,2012,735,580,570,-1,-1,-1,-1,-1,-1,-1,-1,0.1282,-0.4536,-1.2196,-1.2486,-2.0105 +train,214343,350000.00,7/1/2012 0:00,present,software engineer,Gurgaon,f,1/1/1991 0:00,80,cbse,2008,82.4,cbse,44,2,B.Tech/B.E.,information technology,74.27,44,0,Uttar 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Delhi,m,11/9/1990 0:00,82,cbse,2008,76,cbse,33,2,B.Tech/B.E.,computer engineering,67,33,0,Haryana,2012,710,655,500,0.843123726665742,515,-1,-1,-1,-1,-1,-1,1.4208,0.3789,-0.2974,-0.6147,0.4805 +train,134963,1300000.00,3/1/2011 0:00,present,junior manager,angul,m,5/12/1986 0:00,72.5,jseb,2004,58.6,cbse,1424,2,B.Tech/B.E.,instrumentation and control engineering,84.4,1424,0,West Bengal,2010,595,365,705,0.910770164246022,455,433,-1,-1,-1,-1,-1,-0.5719,0.5008,-1.0697,-0.5253,0.1864 +train,1000456,320000.00,7/1/2013 0:00,2/1/2015 0:00,java developer,Baroda,m,4/18/1986 0:00,65.8,cbse,2003,67.6,cbse,3685,2,MCA,computer application,66.35,3685,0,Madhya Pradesh,2013,475,485,535,0.622642915849938,445,-1,407,-1,-1,-1,-1,-0.7335,-0.4536,0.4711,0.2727,0.4805 +train,322522,160000.00,2/1/2014 0:00,4/1/2015 0:00,ux designer,Bhubaneswar,f,7/24/1991 0:00,88.88,"bse, odisha",2008,71,"chse, odisha",14708,2,B.Tech/B.E.,electronics and communication 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technology,74.86,485,0,Uttar Pradesh,2014,630,565,655,0.974396112538398,615,-1,-1,-1,-1,-1,-1,-0.4463,1.2114,0.6248,0.2727,0.6721 +train,1096948,70000.00,1/1/2015 0:00,4/1/2015 0:00,test engineer,chennai,m,1/2/1993 0:00,89,state board,2010,80,state board,1136,2,B.Tech/B.E.,electronics and electrical engineering,70,1136,0,Tamil Nadu,2014,290,425,270,0.193768441980019,-1,164,-1,-1,324,-1,-1,-0.5899,-0.6201,-1.0659,0.1459,0.8637 +train,99935,300000.00,1/1/2012 0:00,4/1/2015 0:00,clerical,Kochi/Cochin,m,9/25/1987 0:00,74.4,central board of secondary education,2006,70.6,central board of secondary education,956,2,B.Tech/B.E.,electronics and communication engineering,62.93,956,1,Telangana,2010,605,475,555,0.694479327708463,455,366,-1,-1,-1,-1,-1,0.0464,-0.2793,-0.7794,0.0623,0.0284 +train,1262957,190000.00,11/1/2013 0:00,1/1/2015 0:00,technical support engineer,Chennai,m,5/6/1991 0:00,75,cbse,2009,79,state board,1210,2,B.Tech/B.E.,electronics & instrumentation eng,78.5,1210,0,Tamil 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technology,66,8310,1,Rajasthan,2012,570,485,470,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-0.1855,0.9688,-0.1988,1.2374,0.1864 +train,132996,570000.00,9/1/2010 0:00,present,engineer, ariyalur,m,1/5/1989 0:00,84.2,0,2006,87.4,0,3076,2,B.Tech/B.E.,electronics and electrical engineering,77,3076,0,Tamil Nadu,2010,305,435,295,0.229481754911755,445,266,-1,-1,-1,-1,-1,0.8192,0.5008,0.8171,-0.6428,-0.1295 +train,249853,180000.00,5/1/2012 0:00,6/1/2013 0:00,electrical project engineer,Jowai,m,1/12/1989 0:00,66.5,cbse,2007,65.5,cbse,272,2,M.Tech./M.E.,electrical and power engineering,6.8,272,0,Punjab,2015,465,475,565,-1,-1,300,-1,-1,-1,-1,-1,0.51,-0.2793,-1.0697,0.1798,-1.0774 +train,1029318,310000.00,12/1/2013 0:00,present,software engineer,Chennai,f,9/3/1990 0:00,81.4,cbse,2008,79.6,cbse,37,2,B.Tech/B.E.,electronics and communication engineering,72.4,37,1,Delhi,2013,595,565,570,0.868736585485218,455,-1,-1,-1,-1,420,-1,0.2718,0.2124,-0.9122,-1.5021,0.0973 +train,1112003,120000.00,12/1/2014 0:00,present,system engineer,New Delhi,m,12/24/1989 0:00,68.66,state board,2007,61.8,state board,8159,2,B.Tech/B.E.,computer science & engineering,65.72,8159,0,Uttar Pradesh,2013,430,350,450,0.486747008438193,455,-1,376,-1,-1,-1,-1,0.1282,1.0449,0.6248,1.794,1.247 +train,391116,350000.00,8/1/2012 0:00,present,project engineer,Bangalore,m,5/17/1991 0:00,65.56,up board,2008,55.54,up board,356,2,B.Tech/B.E.,computer engineering,72.39,356,1,Karnataka,2012,405,525,525,0.843123726665742,515,-1,-1,-1,-1,-1,-1,-0.1082,-0.0842,-0.2714,-0.1727,-0.6035 +train,801764,335000.00,11/1/2013 0:00,present,software engineer,-1,m,7/11/1992 0:00,86.7,state board,2009,90.2,state board,14382,2,B.Tech/B.E.,electronics and communication engineering,84.3,14382,1,Telangana,2013,660,640,560,0.338786347219528,455,292,-1,-1,-1,-1,-1,-0.5899,-0.4536,-0.1437,1.5404,0.0973 +train,287020,445000.00,3/1/2011 0:00,present,software developer,-1,m,12/8/1985 0:00,63.2,mp board,2004,68.89,mp board,547,2,MCA,computer 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engineering,66,12833,0,Rajasthan,2015,440,400,355,0.356536487724475,295,-1,346,-1,-1,-1,-1,0.7027,0.0459,0.7785,1.6672,-0.0943 +train,407934,440000.00,7/1/2012 0:00,present,senior design engineer,KOLKATA,m,12/18/1990 0:00,84.4,0,2007,84.4,0,3801,2,B.Tech/B.E.,mechanical engineering,88.6,3801,0,Karnataka,2012,515,425,535,0.958682016566051,-1,-1,-1,538,-1,-1,-1,1.59199999999999,0.3448,-0.9245,-1.5828,-0.643 +train,1224920,425000.00,9/1/2014 0:00,present,automation engineer,Bangalore,m,7/6/1991 0:00,76,icse,2009,79,isc,893,2,B.Tech/B.E.,computer science & engineering,68.66,893,0,Uttar Pradesh,2014,545,605,680,0.953899775079926,475,-1,530,-1,-1,-1,-1,-0.3027,1.3779,1.547,0.7798,1.0554 +train,961030,180000.00,5/1/2014 0:00,4/1/2015 0:00,telecom engineer,Delhi,m,5/4/1991 0:00,77.85,state board,2010,64.8,cbse,2037,2,B.Tech/B.E.,electronics and communication engineering,66.6,2037,0,Haryana,2014,450,440,595,0.649389714846691,-1,356,-1,-1,-1,420,-1,0.8463,0.2124,-0.7585,1.9207,0.6721 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developer,Gurgaon,m,7/15/1990 0:00,66.6,cbse,2008,58.2,cbse,7564,2,B.Tech/B.E.,computer science & engineering,66.7,7564,0,Haryana,2013,465,525,470,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.3027,0.0459,0.9322,0.9066,1.247 +train,342610,475000.00,7/1/2012 0:00,present,senior systems engineer,Bangalore,m,5/5/1990 0:00,72,0,2008,68,0,2563,2,B.Tech/B.E.,information technology,68,2563,0,Uttarakhand,2012,485,385,365,0.635978756456794,445,-1,-1,-1,-1,-1,-1,1.4374,1.1248,-0.4891,0.17983,0.3444 +train,927081,250000.00,7/1/2014 0:00,present,software developer,New Delhi,m,12/1/1991 0:00,83,cbse,2009,76,cbse,10971,2,B.Tech/B.E.,computer engineering,65,10971,0,Uttar Pradesh,2014,545,385,470,0.23780283983757,135,-1,315,-1,-1,-1,-1,-0.8772,0.7119,1.0859,-0.995,1.0554 +train,628369,240000.00,4/1/2013 0:00,12/1/2014 0:00,software developer,Dehradun,m,6/2/1990 0:00,69,uttarakhand board,2006,66,uttarakhand board,5683,2,MCA,computer 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engineering,66.55,7315,0,Orissa,2013,430,420,545,0.486747008438193,435,-1,376,-1,-1,-1,-1,0.4155,1.3779,0.6248,0.3995,0.6721 +train,1297757,100000.00,9/1/2014 0:00,2/1/2015 0:00,seo,Bangalore,m,3/8/1988 0:00,83.04,state board,2006,72.6,state board,708,2,M.Tech./M.E.,electronics and communication engineering,64.95,708,0,Karnataka,2013,535,375,375,0.279258511565122,415,-1,-1,-1,-1,292,-1,1.4208,0.8784,-0.2974,0.7798,0.6721 +train,465319,360000.00,7/1/2012 0:00,present,software engineer,Hyderabad,m,8/25/1991 0:00,91,ssc,2008,92.7,board of intermediate,8970,2,B.Tech/B.E.,electronics and communication engineering,72,8970,1,Telangana,2012,425,555,565,0.694479327708463,-1,366,-1,-1,-1,393,-1,1.1283,1.5928,0.2366,0.2973,-0.0506 +train,435062,255000.00,10/1/2013 0:00,present,assistant engineer,Neemrana,m,9/21/1990 0:00,71.1,rajasthan board,2009,71.01,state board of technical eduction panchkula,186,2,B.Tech/B.E.,mechanical engineering,69,186,0,Haryana,2012,475,455,575,0.714529363243447,-1,-1,-1,435,-1,-1,-1,0.2009,0.2668,0.163999999999999,0.4148,0.0284 +train,852303,300000.00,9/1/2013 0:00,present,java software engineer,Hyderabad,m,6/7/1992 0:00,90.6,state board,2009,94.3,state board,11490,2,B.Tech/B.E.,electronics and communication engineering,84,11490,0,Andhra Pradesh,2013,520,460,620,0.493596387301038,455,324,-1,-1,-1,-1,-1,0.99,0.5454,0.7785,-1.6289,0.6721 +train,359928,200000.00,2/1/2013 0:00,present,electronic field service engineer,Pune,m,12/20/1990 0:00,76.53,0,2009,85,0,8641,2,B.Tech/B.E.,electronics & telecommunications,58,8641,1,Maharashtra,2012,335,385,325,0.229481754911755,-1,266,-1,-1,-1,393,-1,0.9737,-0.2012,0.0552,0.5323,-0.7615 +train,871997,335000.00,10/1/2014 0:00,present,programmer analyst,Chennai,m,12/11/1992 0:00,86.4,cbse,2010,82.8,cbse,347,2,B.Tech/B.E.,electrical engineering,70,347,0,Uttar Pradesh,2014,590,500,530,0.649389714846691,345,356,-1,-1,-1,-1,-1,0.8463,0.7119,0.9322,-0.3612,1.247 +train,954272,350000.00,8/1/2012 0:00,8/1/2013 0:00,entry level management trainee,Hyderabad,f,7/29/1990 0:00,87,state board,2008,91,state board,9074,2,B.Tech/B.E.,electronics and communication engineering,74,9074,1,Telangana,2012,625,605,555,0.649389714846691,385,356,-1,-1,-1,-1,-1,0.5591,1.0449,1.0859,-1.6289,0.6721 +train,295347,400000.00,11/1/2012 0:00,present,systems analyst,-1,m,6/14/1989 0:00,78.8,cbse,2007,53.8,nios,2819,2,B.Tech/B.E.,computer engineering,67.72,2819,0,Uttar Pradesh,2012,505,435,515,0.245455659999829,335,-1,-1,-1,-1,-1,-1,0.3555,0.5008,0.672,-0.2902,-0.9194 +train,800561,300000.00,7/1/2013 0:00,4/1/2015 0:00,web developer,Lucknow,m,8/15/1991 0:00,59,cbse,2008,60,cbse,4501,2,B.Tech/B.E.,computer science & engineering,67,4501,0,Uttar Pradesh,2013,485,645,515,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-1.1644,-0.6201,-1.527,-0.8682,-2.5853 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board,2010,89.5,state board,3931,2,B.Tech/B.E.,mechanical engineering,75.86,3931,0,Andhra Pradesh,2014,570,445,405,0.725984147969479,325,-1,-1,438,-1,-1,-1,1.2772,1.3779,0.3174,-2.136,0.2889 +train,451825,435000.00,3/1/2012 0:00,present,software engineer,Pune,m,5/7/1989 0:00,59.3,upbhsie,2006,60.4,upbhsie,348,2,B.Tech/B.E.,computer engineering,67.1,348,0,Uttar Pradesh,2011,495,635,405,0.600057182338341,435,-1,-1,-1,-1,-1,-1,1.4374,0.5008,1.3977,0.2973,-0.2875 +train,232381,120000.00,8/1/2011 0:00,7/1/2013 0:00,lecturer,-1,f,4/27/1989 0:00,73.2,cbse,2007,59,cbse,81,2,B.Tech/B.E.,computer engineering,65.4,81,0,Uttar Pradesh,2011,535,525,555,0.819416529835888,505,-1,-1,-1,-1,-1,-1,0.51,-1.3713,-1.0697,-1.1128,-0.1295 +train,309214,420000.00,2/1/2014 0:00,present,sap consultant,Noida,m,4/2/1992 0:00,78.6,cbse,2009,70.2,cbse,5904,2,B.Tech/B.E.,computer science & engineering,73.04,5904,0,Uttar 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0:00,present,junior engineer product support,noida,m,4/7/1992 0:00,64.6,state board,2009,62.2,state board,13355,2,MCA,computer application,78,13355,1,West Bengal,2014,520,420,415,0.276047228046856,345,-1,-1,-1,-1,-1,-1,0.7027,1.3779,0.1637,0.9066,-0.2859 +train,608938,600000.00,7/1/2013 0:00,6/1/2014 0:00,manager,Gurgaon,m,5/25/1991 0:00,86.4,cbse,2009,93.6,cbse,10950,1,B.Tech/B.E.,mechanical engineering,72.3,10950,0,Punjab,2013,800,570,500,0.986525019020638,-1,-1,-1,580,-1,-1,-1,-2.0262,-1.1196,-0.7585,-0.2344,-0.4776 +train,604198,350000.00,2/1/2014 0:00,present,programmer analyst,-1,m,3/9/1990 0:00,83.2,cbse,2008,72.3,cbse,28,2,B.Tech/B.E.,computer science & engineering,68,28,1,Delhi,2013,545,620,515,0.960903087163164,595,-1,-1,-1,-1,-1,-1,0.4155,1.0449,1.3933,-0.4879,-0.0943 +train,33169,730000.00,6/1/2010 0:00,present,senior business analyst,Gurgaon,f,3/23/1988 0:00,87.6,cbse,2006,72.2,cbse,47,1,B.Tech/B.E.,electronics and communication 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0:00,87,cbse,2008,77,cbse,485,2,B.Tech/B.E.,computer science & engineering,69,485,0,Uttar Pradesh,2013,675,510,545,0.0800552813405495,465,-1,253,-1,-1,-1,-1,0.8463,1.7109,0.4711,-1.5021,0.8637 +train,470584,420000.00,7/1/2012 0:00,9/1/2014 0:00,senior business analyst,-1,f,12/18/1992 0:00,74.83,secondary board of rajasthan,2008,68.67,secondary board of rajasthan,12185,2,B.Tech/B.E.,computer engineering,72.3,12185,1,Rajasthan,2013,555,475,475,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.3555,0.2668,-0.2714,-0.2902,-0.1295 +train,1189528,200000.00,12/1/2014 0:00,4/1/2014 0:00,qa analyst,Hyderabad,m,11/6/1992 0:00,92.83,state board,2010,91.9,state board,7096,2,B.Tech/B.E.,information technology,78.15,7096,0,Andhra Pradesh,2014,545,505,500,0.793580614548506,495,-1,-1,-1,-1,-1,-1,1.8517,1.0449,1.8543,-2.136,1.0554 +train,330914,335000.00,5/1/2013 0:00,5/1/2015 0:00,oracle dba,Bangalore,f,5/28/1991 0:00,89.6,ssc,2008,92.1,board of intermediate,4381,2,B.Tech/B.E.,computer 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0:00,present,system engineer,Bangalore,m,11/20/1990 0:00,75,cbse,2008,85,cbse,8982,2,B.Tech/B.E.,electronics and communication engineering,74.53,8982,0,Uttar Pradesh,2012,500,535,765,0.943272157866555,-1,452,-1,-1,-1,-1,-1,0.1282,1.2114,1.8543,-0.4879,0.6721 +train,214231,465000.00,3/1/2013 0:00,4/1/2014 0:00,system engineer,Mumbai,f,6/9/1990 0:00,94.2,cbse,2008,90.4,cbse,44,2,B.Tech/B.E.,computer engineering,73,44,0,Uttar Pradesh,2012,665,645,595,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-1.6538,0.8128,0.672,1.2374,0.7788 +train,576127,195000.00,6/1/2013 0:00,8/1/2014 0:00,business analyst,-1,m,9/13/1990 0:00,76.2,cbse,2008,60.2,cbse,7376,2,B.Tech/B.E.,information technology,69.62,7376,0,Uttar Pradesh,2013,590,535,695,0.525922584252055,415,-1,-1,-1,-1,-1,-1,0.1282,0.7119,0.1637,0.0192,-0.4776 +train,1069119,120000.00,8/1/2012 0:00,2/1/2013 0:00,production engineer,-1,m,12/10/1990 0:00,77,cbse,2007,62.2,cbse,10673,2,B.Tech/B.E.,electronics and electrical engineering,75,10673,1,Tamil 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manager,Noida,m,12/1/1989 0:00,65,up board,2005,75,up board,184,2,B.Tech/B.E.,electronics and communication engineering,62,184,0,Uttar Pradesh,2012,475,415,575,0.229481754911755,-1,266,-1,-1,-1,340,-1,0.6646,1.4368,-1.7954,-1.4653,-0.0506 +train,78587,255000.00,5/1/2012 0:00,present,technical support engineer,Kolkata,m,8/29/1986 0:00,52,jharkhand secondary board,2004,59,jharkhand academic council,182,2,B.Tech/B.E.,electronics and electrical engineering,57,182,1,Karnataka,2011,485,365,214,0.124502074009537,325,233,-1,-1,-1,-1,-1,-0.1082,-0.1232,0.9623,1.7074,-0.1295 +train,1251710,140000.00,1/1/2014 0:00,2/1/2015 0:00,technical support engineer,New Delhi,m,7/25/1990 0:00,76,state board,2008,63,cbse,6739,2,B.Tech/B.E.,computer science & engineering,83,6739,0,Haryana,2013,420,450,450,0.23780283983757,385,-1,315,-1,-1,-1,-1,-0.4463,-0.2871,0.3174,0.653,0.6721 +train,125654,380000.00,4/1/2011 0:00,present,application developer,Bangalore,m,5/20/1987 0:00,74,"board of secondary 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communication engineering,73.4,4319,0,Punjab,2013,490,470,500,0.0531603052826837,395,196,-1,-1,-1,-1,-1,0.4155,0.0459,0.3174,-1.5021,-1.0524 +train,1077184,100000.00,6/1/2014 0:00,4/1/2015 0:00,marketing analyst,Faridabad,m,1/11/1992 0:00,51.2,cbse,2008,74,cbse,302,1,B.Tech/B.E.,computer science & engineering,67.8,302,0,Haryana,2013,525,485,560,0.744758354008939,565,-1,438,-1,-1,-1,-1,-0.3027,1.0449,-0.2974,0.2727,0.8637 +train,1035913,110000.00,10/1/2014 0:00,2/1/2014 0:00,software engineer,Pune,m,1/16/1991 0:00,66.46,state board,2009,62.81,state board,2570,2,B.Tech/B.E.,computer engineering,61.51,2570,0,Maharashtra,2013,430,340,370,0.842248322257836,515,-1,469,-1,-1,-1,-1,1.5644,-0.1206,0.01,0.5262,0.6721 +train,1290109,215000.00,8/1/2013 0:00,1/1/2015 0:00,software test engineer,Jaipur,m,11/4/1990 0:00,82.67,state board,2008,74.92,state board,12737,2,B.Tech/B.E.,computer 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0:00,90.83,ssc,2008,95.1,intermediate,3838,2,B.Tech/B.E.,civil engineering,84.01,3838,0,Andhra Pradesh,2012,525,455,605,0.962217010630124,-1,-1,-1,366,-1,-1,500,-0.7651,-0.4353,-1.6502,1.3255,-0.4455 +train,452593,465000.00,8/1/2012 0:00,present,software developer,Gurgaon,f,5/27/1990 0:00,70,0,2008,68.83,0,255,2,B.Tech/B.E.,computer engineering,69.1,255,0,Uttar Pradesh,2012,535,615,585,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-0.7264,1.7488,0.3817,0.2973,0.5419 +train,212005,270000.00,3/1/2013 0:00,present,asp.net developer,Noida,m,1/24/1989 0:00,49,up,2005,52,up,5690,2,B.Tech/B.E.,information technology,68,5690,0,Uttar Pradesh,2011,545,375,565,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-0.880999999999999,-1.5273,-0.344,0.5323,-0.9194 +train,602267,320000.00,9/1/2014 0:00,present,java software engineer,Bangalore,m,2/18/1991 0:00,89.1,state board,2009,97.8,state board,11509,1,B.Tech/B.E.,electronics and communication 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Pradesh,2014,525,505,465,0.486747008438193,315,-1,376,-1,-1,-1,-1,0.8463,0.0459,0.6248,-0.995,1.0554 +train,614413,120000.00,10/1/2014 0:00,2/1/2015 0:00,android developer,Dehradun,m,2/15/1991 0:00,83,icse,2008,73,cbse,272,2,B.Tech/B.E.,computer engineering,62,272,0,Punjab,2014,580,580,650,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.4155,0.2124,1.2396,-0.8682,-0.0943 +train,108193,130000.00,6/1/2011 0:00,3/1/2013 0:00,system administrator,Hyderabad,m,5/17/1988 0:00,87.33,ssc,2006,85.4,intermediate,1028,2,B.Tech/B.E.,electronics and communication engineering,64,1028,1,Telangana,2010,405,485,445,0.694479327708463,305,366,-1,-1,-1,-1,-1,-0.880999999999999,-2.7754,1.1074,-0.1727,-0.1295 +train,539191,440000.00,4/1/2013 0:00,present,sharepoint developer,-1,m,5/18/1991 0:00,83.1,ssc,2008,87.1,board of intermediate,3026,2,B.Tech/B.E.,information technology,68.75,3026,1,Telangana,2012,465,545,545,0.670743151433127,455,-1,-1,-1,-1,-1,-1,-0.5719,-0.4353,0.163999999999999,-0.7603,-1.7093 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0:00,72,cbse,2009,67,cbse,1115,2,B.Tech/B.E.,computer science & engineering,57.5,1115,1,Karnataka,2013,520,570,515,0.842248322257836,525,-1,469,-1,-1,-1,-1,1.1336,0.0459,0.6248,-1.6289,0.2889 +train,467504,340000.00,1/1/2014 0:00,present,software engineer,Hyderabad,f,11/4/1990 0:00,88.34,cbse,2007,71,cbse,1730,2,B.Tech/B.E.,electronics and electrical engineering,90.44,1730,0,Uttar Pradesh,2012,525,505,485,0.0587928000083534,-1,200,-1,-1,-1,-1,-1,1.2828,1.2028,-0.7068,-0.6428,0.5024 +train,1061897,180000.00,7/1/2013 0:00,10/1/2014 0:00,java software engineer,Kolkata,m,4/20/1990 0:00,68.4,state board,2008,69.4,state board,8297,2,B.Tech/B.E.,electronics and communication engineering,76,8297,1,West Bengal,2013,455,570,620,-1,465,-1,315,-1,-1,-1,-1,0.8463,-0.2871,-0.9122,-0.8682,-0.0943 +train,533466,240000.00,8/1/2012 0:00,8/1/2013 0:00,sales management trainee,-1,m,9/14/1989 0:00,91.67,cbse,2007,74.2,cbse,11817,2,B.Tech/B.E.,electronics & instrumentation 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+train,1133187,150000.00,9/1/2014 0:00,4/1/2015 0:00,technical support engineer,Bangalore,m,4/18/1991 0:00,60,cbse,2009,55,state board,15157,2,B.Tech/B.E.,electronics and communication engineering,52,15157,1,Karnataka,2014,360,470,440,0.0531603052826837,-1,196,-1,-1,-1,-1,-1,-0.3027,-0.6201,-0.4511,-0.4879,-1.0524 +train,1293728,330000.00,2/1/2015 0:00,present,project engineer,Bangalore,m,2/28/1992 0:00,91.4,cbse,2010,87.8,cbse,13439,2,B.Tech/B.E.,electronics and communication engineering,77,13439,0,Jharkhand,2015,525,460,510,0.649389714846691,565,356,376,-1,-1,-1,-1,-2.1698,0.5454,-0.1437,0.1459,-0.2859 +train,503221,350000.00,8/1/2013 0:00,present,continuous improvement engineer,Nashik,m,10/12/1990 0:00,87.4,cbse,2008,81.2,cbse,5111,2,B.Tech/B.E.,mechanical engineering,75,5111,0,Maharashtra,2013,465,655,575,0.714529363243447,-1,-1,-1,435,-1,-1,-1,-0.5719,0.8128,0.5269,1.2374,-0.643 +train,358389,140000.00,8/1/2012 0:00,4/1/2014 0:00,technical support engineer,New delhi,m,12/27/1989 0:00,73,cbse,2007,63,bseb,167,2,B.Tech/B.E.,electronics and communication engineering,67.69,167,0,Haryana,2012,515,575,575,0.824666400671332,-1,400,-1,-1,-1,-1,-1,-1.3447,-0.1232,-2.2308,0.3561,0.3444 +train,864186,515000.00,8/1/2013 0:00,present,software engineer,-1,m,3/10/1992 0:00,84.8,cbse,2009,84.6,cbse,7557,2,B.Tech/B.E.,computer science & engineering,80.8,7557,1,Delhi,2013,625,585,795,0.911395278391328,575,-1,500,-1,-1,-1,-1,0.2718,0.3789,0.9322,-0.1076,-1.4356 +train,479805,200000.00,6/1/2013 0:00,present,process advisor,Chennai,f,3/9/1991 0:00,78,0,2008,80,0,4042,2,B.Tech/B.E.,computer engineering,78,4042,0,Tamil Nadu,2012,495,495,435,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-1.1901,1.1248,-0.1988,2.1774,0.6603 +train,330078,230000.00,9/1/2014 0:00,4/1/2015 0:00,customer service representative,Hyderabad,m,12/20/1989 0:00,73,cbse,2008,83,board of intermediate,11183,2,B.Tech/B.E.,information technology,64,11183,1,Telangana,2012,475,335,345,0.377551419424541,375,-1,-1,-1,-1,-1,-1,-0.4173,0.0328,-0.344,0.5323,-0.7615 +train,1066680,325000.00,8/1/2014 0:00,present,system engineer,-1,m,9/12/1991 0:00,86.4,cbse,2009,86.2,cbse,1906,2,B.Tech/B.E.,electronics and communication engineering,81.4,1906,1,West Bengal,2014,720,630,750,0.338786347219528,485,292,-1,-1,-1,228,-1,1.2772,1.0449,0.7785,-1.2486,0.6721 +train,806424,350000.00,12/1/2014 0:00,present,software engineer,Gurgaon,m,9/7/1992 0:00,85.4,cbse,2010,67.8,cbse,11759,2,B.Tech/B.E.,computer science & engineering,82.67,11759,0,Uttarakhand,2014,695,535,485,0.622642915849938,495,-1,407,-1,-1,-1,-1,-2.0262,0.0459,0.4711,-0.995,0.2889 +train,676401,105000.00,9/1/2013 0:00,7/1/2014 0:00,software developer,Bhopal,f,7/28/1991 0:00,78.6,state board,2009,66.6,state board,547,2,B.Tech/B.E.,information technology,74.3,547,0,Madhya Pradesh,2013,345,440,545,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-1.308,-0.9531,-0.2974,1.1601,-1.0524 +train,1143459,275000.00,7/1/2014 0:00,present,software engineer,Bhubaneswar,m,6/4/1991 0:00,80.42,icse,2010,65.16,state board,5026,2,B.Tech/B.E.,computer science & engineering,74,5026,0,Orissa,2014,710,480,535,0.144789889482462,465,-1,284,-1,-1,-1,-1,1.4208,0.8784,0.7785,-0.1076,0.2889 +train,347313,260000.00,12/1/2012 0:00,3/1/2015 0:00,software engineer,New Delhi,m,5/4/1991 0:00,58,up board,2008,65,up board,12478,2,B.Tech/B.E.,information technology,69.8,12478,0,Uttar Pradesh,2012,445,385,405,0.704090412131314,465,-1,-1,-1,-1,-1,-1,1.9011,1.6708,1.4702,-0.2902,0.9763 +train,1034772,300000.00,11/1/2014 0:00,present,software engineer,-1,m,7/28/1991 0:00,84.5,state board,2009,74,state board,7010,2,B.Tech/B.E.,electronics and communication engineering,79.8,7010,1,West Bengal,2013,535,590,605,0.338786347219528,365,292,-1,-1,-1,-1,-1,0.5591,-0.1206,0.6248,0.9066,-0.6692 +train,1125683,175000.00,5/1/2014 0:00,1/1/2015 0:00,data analyst,Hyderabad,f,7/9/1992 0:00,91.3,state board,2009,90.7,state board,9812,2,B.Tech/B.E.,electronics and communication engineering,71.65,9812,1,Telangana,2013,525,520,450,0.207392169717661,455,260,-1,-1,-1,-1,-1,1.1336,0.2124,1.0859,-0.7415,-0.0943 +train,786404,350000.00,9/1/2013 0:00,4/1/2015 0:00,etl developer,Hyderabad,m,5/23/1992 0:00,82.33,state board,2009,84,state board,11788,2,B.Tech/B.E.,computer science & engineering,68.6,11788,0,Andhra Pradesh,2013,605,595,720,0.942116551485008,575,-1,-1,-1,-1,-1,-1,-0.8772,0.0459,0.4711,1.4136,0.6721 +train,847671,200000.00,8/1/2013 0:00,10/1/2014 0:00,sales and service engineer,-1,m,5/12/1991 0:00,71,state board,2007,69,state board,14910,2,B.Tech/B.E.,electronics and communication engineering,64.28,14910,0,Uttar Pradesh,2012,500,460,545,0.943272157866555,-1,452,-1,-1,-1,420,-1,-0.4463,0.2124,0.01,-0.6147,1.0554 +train,247078,275000.00,3/1/2012 0:00,5/1/2014 0:00,project engineer,-1,f,7/13/1988 0:00,78,0,2006,53,0,6570,2,B.Tech/B.E.,computer engineering,65,6570,0,Orissa,2011,475,485,525,0.600057182338341,435,-1,-1,-1,-1,-1,-1,0.6646,0.8128,-0.344,-0.2902,0.1864 +train,312286,395000.00,12/1/2011 0:00,present,programmer analyst,Hyderabad,f,8/7/1990 0:00,83.3,ssc,2007,80.1,intermediate board examination,9769,2,B.Tech/B.E.,computer engineering,63.5,9769,1,Telangana,2011,485,315,405,0.488347976782714,405,-1,-1,-1,-1,-1,-1,0.6646,0.9688,1.4267,0.8457,1.3976 +train,692823,520000.00,10/1/2013 0:00,present,technical support specialist,Hyderabad,m,1/29/1992 0:00,78.25,state board,2009,74.6,state board,5216,2,B.Tech/B.E.,information technology,78.6,5216,1,West Bengal,2013,720,450,590,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.8772,0.7119,0.4711,-0.1076,0.6721 +train,272917,80000.00,10/1/2012 0:00,3/1/2013 0:00,software developer,Indore,m,8/26/1989 0:00,81,cbse,2006,61,cbse,3725,2,B.Tech/B.E.,information technology,67.5,3725,0,Madhya Pradesh,2011,445,465,475,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-0.5719,-0.5913,0.8171,0.2973,-0.1295 +train,662991,215000.00,10/1/2013 0:00,1/1/2015 0:00,project manager,Gurgaon,m,7/18/1989 0:00,74,cbse,2006,64,state board,405,2,B.Tech/B.E.,information technology,76,405,0,Uttar Pradesh,2011,510,400,324,-1,-1,-1,-1,-1,-1,-1,-1,0.5591,-0.4536,1.0859,-2.0092,-0.6692 +train,607667,275000.00,7/1/2013 0:00,6/1/2014 0:00,training specialist,-1,f,3/31/1991 0:00,95.52,karnataka secondary education examination board,2009,94.33,"department of pre-university education, bangalore",316,2,B.Tech/B.E.,information technology,83.63,316,1,Karnataka,2013,580,620,620,0.968237495890543,605,-1,-1,-1,-1,-1,-1,0.2718,1.0449,0.1637,-0.6147,0.6721 +train,962376,700000.00,7/1/2014 0:00,present,product manager,Jaipur,m,1/3/1992 0:00,87.4,cbse,2009,74,state board,436,1,M.Tech./M.E.,polymer technology,72.79,436,0,Uttarakhand,2014,625,450,655,-1,-1,-1,-1,-1,-1,-1,-1,-0.3027,-0.4536,-0.6048,-0.8682,0.0973 +train,1088773,240000.00,2/1/2014 0:00,present,software engineer,-1,f,12/14/1991 0:00,86.6,cbse,2009,78.8,cbse,10236,2,B.Tech/B.E.,electronics & telecommunications,72.8,10236,0,Karnataka,2013,735,505,450,0.279258511565122,515,-1,-1,-1,-1,292,-1,-0.0154,-0.6201,-0.6048,-0.6147,-0.6692 +train,425274,300000.00,7/1/2013 0:00,present,system engineer,Greater Noida,m,8/9/1992 0:00,63,up board,2008,61,up board,75,2,B.Tech/B.E.,computer engineering,70.64,75,0,Uttar Pradesh,2012,415,365,465,0.884122511593735,535,-1,-1,-1,-1,-1,-1,0.8192,1.4368,0.5269,-1.1128,0.0679 +train,1152429,340000.00,5/1/2014 0:00,present,software developer,Pune,m,5/8/1989 0:00,70,state board,2007,56,state board,1995,2,B.Tech/B.E.,computer science & engineering,54,1995,1,Maharashtra,2013,615,580,405,0.842248322257836,515,-1,469,-1,-1,-1,-1,-0.7335,0.8784,0.3174,-1.6289,-0.2859 +train,324284,520000.00,5/1/2013 0:00,9/1/2014 0:00,technical support engineer,Pune,f,1/21/1991 0:00,87.86,maharashtra board,2008,74.67,stmiras college for girls,7236,2,B.Tech/B.E.,electronics & telecommunications,62.33,7236,1,Maharashtra,2012,545,595,435,0.538386892985096,-1,333,-1,-1,-1,393,-1,-0.1082,1.0858,-0.3803,-0.2902,0.5024 +train,668771,300000.00,10/1/2013 0:00,present,operations manager,Bangalore,m,10/31/1991 0:00,84.8,cbse,2009,75,cbse,6566,2,B.Tech/B.E.,mechanical engineering,61.8,6566,1,Karnataka,2013,640,460,455,0.304510913720196,445,-1,-1,340,-1,-1,-1,-0.3027,0.8784,-0.2974,0.3995,0.2889 +train,244735,325000.00,7/1/2011 0:00,present,system administrator,Bangalore,f,6/22/1986 0:00,68,icse,2006,62,mbose,2634,2,B.Tech/B.E.,electronics and communication engineering,58.43,2634,1,Karnataka,2011,495,475,445,0.538386892985096,-1,333,-1,-1,-1,286,-1,-0.1082,-0.9033,-1.3599,0.7673,-0.4455 +train,619605,475000.00,2/1/2014 0:00,present,assistant manager,Bellary,m,6/28/1991 0:00,89.4,cbse,2009,75.6,state board,275,2,B.Tech/B.E.,mechanical engineering,82.53,275,1,Karnataka,2013,590,610,635,0.840840968763718,-1,-1,-1,473,-1,-1,-1,0.8463,0.0459,0.7785,-1.8824,0.4805 +train,34238,570000.00,9/1/2010 0:00,present,assistant manager,-1,m,2/9/1986 0:00,60,up board,2005,71,up board,285,1,B.Tech/B.E.,mechanical engineering,73.4,285,0,Punjab,2010,555,515,635,-1,125,333,-1,-1,-1,-1,-1,-0.2628,0.0328,-0.1988,-0.9953,0.3444 +train,514731,445000.00,2/1/2013 0:00,present,software engineer,Bangalore,m,9/18/1990 0:00,63,cbse,2008,62,cbse,8504,2,B.Tech/B.E.,information technology,79,8504,1,Rajasthan,2012,580,535,455,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-0.2628,0.0328,-1.4688,1.9424,-1.3934 +train,47476,205000.00,5/1/2014 0:00,present,oracle dba,Chennai,f,6/10/1988 0:00,94.7,cbse,2006,94.7,state board,434,2,B.Tech/B.E.,electronics and communication engineering,67,434,1,Tamil Nadu,2010,525,585,535,0.824666400671332,-1,400,-1,-1,-1,-1,-1,-0.7264,0.9688,-1.0697,0.5323,-0.1295 +train,1082927,340000.00,6/1/2014 0:00,present,application developer,Noida,m,11/4/1992 0:00,90.4,state board,2010,78.2,state board,5216,2,B.Tech/B.E.,electronics and instrumentation engineering,87.8,5216,1,West Bengal,2013,630,625,560,0.849802713510871,-1,-1,-1,-1,-1,-1,-1,1.5644,1.5444,1.547,-2.5163,0.6721 +train,600997,240000.00,3/1/2013 0:00,1/1/2014 0:00,software engineer,Gurgaon,f,8/22/1990 0:00,83,cbse,2009,74,cbse,272,2,B.Tech/B.E.,computer engineering,67,272,0,Punjab,2013,605,585,590,0.704090412131314,465,-1,-1,-1,-1,-1,-1,1.5644,1.2114,1.547,-0.995,0.4805 +train,745903,300000.00,9/1/2013 0:00,present,software engineer,Hyderabad,m,3/21/1991 0:00,89.5,state board,2009,92.2,bie,9164,2,B.Tech/B.E.,computer science & engineering,75.12,9164,1,Telangana,2013,545,580,795,0.942116551485008,575,-1,-1,-1,-1,-1,-1,0.1282,1.3779,1.3933,-2.136,1.0554 +train,239868,510000.00,1/1/2012 0:00,4/1/2015 0:00,systems engineer,Bangalore,f,5/28/1989 0:00,97.12,karnataka secondary education examination board,2007,90.33,department of pre-university education(government of karnataka),1866,2,B.Tech/B.E.,computer engineering,82.84,1866,1,Karnataka,2011,505,555,555,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.9737,0.3448,0.672,-0.5253,0.3444 +train,922592,180000.00,11/1/2014 0:00,6/1/2014 0:00,staffing recruiter,Noida,m,8/20/1992 0:00,79,icse,2010,78,icse,272,2,B.Tech/B.E.,electronics and communication engineering,73,272,0,Punjab,2014,485,610,575,0.493596387301038,495,324,-1,-1,-1,-1,-1,-2.0262,0.3789,-1.2196,0.3995,0.6721 +train,937943,145000.00,9/1/2014 0:00,present,technical recruiter,NOIDA,m,7/1/1991 0:00,68.2,cbse,2010,60,cbse,17782,2,B.Tech/B.E.,information technology,72.23,17782,0,Uttarakhand,2014,440,340,340,0.356536487724475,415,-1,346,-1,-1,-1,-1,-2.1698,-0.1206,0.3174,-0.8682,-0.2859 +train,334686,410000.00,7/1/2012 0:00,4/1/2015 0:00,java software engineer,-1,m,9/4/1990 0:00,71.2,cbse,2008,60.8,cbse,1622,2,B.Tech/B.E.,computer engineering,72.2,1622,0,Madhya Pradesh,2012,485,525,515,0.843123726665742,515,-1,-1,-1,-1,-1,-1,-1.0355,-0.7863,-1.1422,-0.52527,-0.9194 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board,5256,2,B.Tech/B.E.,instrumentation and control engineering,86.3,5256,0,Orissa,2013,535,485,595,0.493596387301038,585,324,-1,-1,-1,-1,-1,0.2718,1.2114,0.4711,0.1459,1.0554 +train,244386,225000.00,4/1/2012 0:00,1/1/2013 0:00,quality associate,Bangalore,m,10/9/1988 0:00,71,icse,2007,62,cbse,3427,2,B.Tech/B.E.,electronics and communication engineering,70,3427,0,Orissa,2011,475,385,545,0.376059586651545,425,300,-1,-1,-1,393,-1,0.51,-0.4353,-0.344,0.2973,-0.1295 +train,436253,200000.00,3/1/2013 0:00,3/1/2014 0:00,it analyst,Gurgaon,f,10/29/1989 0:00,84.14,cbse,2007,73.61,cbse,48,1,B.Tech/B.E.,computer engineering,76.09,48,1,Delhi,2012,445,475,595,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-1.8083,0.0328,-1.0697,-0.0552,-0.7615 +train,649530,350000.00,2/1/2014 0:00,present,system engineer,Pune,m,1/25/1991 0:00,80.53,state board,2008,80.5,state board,8743,2,B.Tech/B.E.,information technology,58.61,8743,0,Maharashtra,2013,645,795,675,0.98374996654107,635,-1,-1,-1,-1,-1,-1,-0.4463,1.3779,0.9322,-0.995,0.8637 +train,991880,200000.00,12/1/2014 0:00,5/1/2015 0:00,sales engineer,Noida,m,7/24/1991 0:00,73,cbse,2009,64,cbse,9737,2,B.Tech/B.E.,electronics and electrical engineering,61,9737,0,Uttar Pradesh,2014,430,370,450,0.557389505646088,-1,388,-1,-1,420,-1,-1,0.1282,-0.9531,0.1637,0.653,0.2889 +train,622495,325000.00,7/1/2013 0:00,present,assistant manager,Ludhiana,m,12/26/1990 0:00,81.9,cbse,2008,72,cbse,272,2,B.Tech/B.E.,information technology,71.9,272,0,Punjab,2012,465,415,485,-1,-1,-1,-1,-1,-1,-1,-1,-1.308,-0.4536,0.01,0.1459,-1.0524 +train,988691,120000.00,2/1/2014 0:00,8/1/2014 0:00,web developer,New Delhi ,m,10/24/1992 0:00,63.6,cbse,2010,53.6,cbse,14720,2,B.Tech/B.E.,computer science & engineering,60,14720,0,Uttar Pradesh,2014,545,395,465,0.819416529835888,505,-1,-1,-1,-1,-1,-1,1.1336,1.2114,0.7785,-0.3612,0.6721 +train,256138,500000.00,3/1/2011 0:00,4/1/2015 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0:00,60,0,2005,76.44,0,5342,2,B.Tech/B.E.,computer engineering,71.22,5342,0,Madhya Pradesh,2009,455,535,555,0.952245572924303,585,-1,-1,-1,-1,-1,-1,-1.1901,-0.4353,0.8171,0.8848,0.6603 +train,468083,100000.00,12/1/2012 0:00,present,mis executive,BHOPAL,m,5/16/1989 0:00,71.4,0,2008,78.66,0,11143,2,B.Tech/B.E.,computer engineering,68,11143,0,Madhya Pradesh,2012,385,405,465,0.563267823666597,425,-1,-1,-1,-1,-1,-1,0.8192,-0.7473,-0.0537,-0.7603,0.3049 +train,313158,520000.00,12/1/2011 0:00,8/1/2014 0:00,oracle dba,Gurgoan,m,2/5/1991 0:00,69.5,up board,2008,64.4,up board,96,2,MCA,computer application,68,96,0,Sikkim,2013,435,575,415,-1,-1,-1,-1,-1,-1,-1,-1,0.9737,0.6178,-0.7068,-0.17277,0.3444 +train,47767,800000.00,3/1/2010 0:00,present,qa analyst,New Delhi,m,12/7/1987 0:00,70.2,0,2005,75.6,0,13,1,B.Tech/B.E.,information technology,68.93,13,1,Delhi,2009,415,525,615,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-1.3447,-1.0593,-1.3599,0.8848,-0.9194 +train,1263022,325000.00,2/1/2015 0:00,5/1/2015 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engineering,76.08,29,1,Delhi,2013,570,580,705,0.996744486852253,565,-1,623,-1,-1,-1,-1,-0.0154,0.2124,-1.527,-2.3895,-0.6692 +train,416468,350000.00,6/1/2012 0:00,10/1/2013 0:00,systems analyst,Chennai,m,5/9/1989 0:00,79,cbse,2007,74,cbse,35,1,B.Tech/B.E.,information technology,80,35,1,Delhi,2012,535,585,705,0.979521744319216,625,-1,-1,-1,-1,-1,-1,1.0896,1.2808,-0.1988,-0.4371,0.0284 +train,421568,235000.00,8/1/2012 0:00,1/1/2013 0:00,it support specialist,Mumbai,m,6/9/1989 0:00,62.34,ssc,2008,62.26,msbte,307,2,B.Tech/B.E.,computer engineering,58.35,307,1,Maharashtra,2012,435,375,395,0.245455659999829,335,-1,-1,-1,-1,-1,-1,0.51,1.1248,0.5269,1.2374,0.8183 +train,997622,500000.00,7/1/2014 0:00,present,software developer,Bangalore,m,9/14/1993 0:00,83.68,state board,2010,84.5,state board,904,2,B.Tech/B.E.,computer science & engineering,72.3,904,1,Karnataka,2014,580,605,570,0.622642915849938,585,-1,407,-1,-1,-1,-1,-1.308,-1.7856,-0.6048,1.0333,-2.5853 +train,1101727,300000.00,3/1/2014 0:00,present,principal software engineer,Bangalore,m,2/12/1992 0:00,72,cbse,2009,61,state board,8949,2,B.Tech/B.E.,electronics and communication engineering,66.5,8949,1,Karnataka,2013,545,545,535,0.649389714846691,405,356,-1,-1,-1,-1,-1,1.5644,1.0449,-1.527,-2.136,0.0973 +train,920246,125000.00,12/1/2014 0:00,4/1/2015 0:00,web developer,New Delhi,m,1/1/1992 0:00,70.66,state board,2009,69.84,state board,55,2,B.Tech/B.E.,information technology,69,55,0,Uttar Pradesh,2014,310,410,695,0.144789889482462,465,-1,284,-1,-1,-1,-1,-1.1644,-1.2861,0.6248,1.0333,-1.6273 +train,374573,500000.00,12/1/2013 0:00,present,technical support engineer,Navi Mumbai,m,6/1/1990 0:00,76,maharashtra state board,2008,78.13,maharashtra state board,11546,2,B.Tech/B.E.,computer engineering,55.7,11546,0,Maharashtra,2012,475,615,675,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.9737,1.7488,-0.1988,-1.9354,-0.1295 +train,1224952,325000.00,11/1/2014 0:00,3/1/2015 0:00,software engineer,Bangalore,m,7/15/1991 0:00,60.1,state 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0:00,4/1/2012 0:00,software engineer,Bangalore,m,4/17/1988 0:00,82,0,2006,65,cbse,115,2,MCA,computer application,66.39,115,0,Punjab,2011,515,585,535,0.952245572924303,585,-1,-1,-1,-1,-1,-1,-0.5719,1.1248,0.8171,-0.9953,0.1864 +train,753317,335000.00,2/1/2014 0:00,present,system engineer,chennai,m,6/9/1992 0:00,85,state board,2009,88.3,state board,11000,2,B.Tech/B.E.,electronics and communication engineering,75.52,11000,1,Telangana,2013,545,655,445,0.338786347219528,385,292,-1,-1,-1,-1,-1,-0.0154,-0.6201,-0.4511,-0.2344,-1.244 +train,823489,300000.00,11/1/2015 0:00,present,programmer analyst,Chennai,m,4/15/1992 0:00,81,state board,2009,81,state board,272,2,B.Tech/B.E.,electronics and communication engineering,78,272,0,Punjab,2014,360,545,635,0.943272157866555,-1,452,-1,-1,-1,-1,-1,-0.0154,0.7119,1.547,-0.995,-0.8608 +train,1087484,110000.00,8/1/2014 0:00,present,software developer,Gwalior,m,4/7/1987 0:00,69,state board,2006,51.3,state board,3313,2,B.Tech/B.E.,information technology,72,3313,0,Madhya Pradesh,2014,430,395,235,0.744758354008939,455,-1,438,-1,-1,-1,-1,-0.0154,-1.2861,0.01,0.2727,-0.4776 +train,37132,470000.00,9/1/2011 0:00,1/1/2015 0:00,senior mechanical engineer,Pune,m,2/18/1988 0:00,87.2,0,2006,83,0,223,2,B.Tech/B.E.,mechanical engineering,63,223,1,Maharashtra,2010,575,405,554,-1,345,333,-1,-1,-1,-1,-1,-2.5811,-1.5273,-0.1988,-1.8179,-1.5513 +train,1171292,330000.00,9/1/2014 0:00,9/1/2015 0:00,assistant system engineer,-1,m,5/24/1992 0:00,94.43,icse,2010,65.2,cbse,14541,1,B.Tech/B.E.,computer science & engineering,61.2,14541,0,Orissa,2014,780,505,510,0.842248322257836,495,-1,469,-1,-1,-1,-1,0.5591,1.0449,1.3933,-1.2486,0.0973 +train,1238258,400000.00,12/1/2014 0:00,present,database administrator,Pune,m,12/17/1992 0:00,85.53,state board,2010,86,state board,3836,2,B.Tech/B.E.,computer science & engineering,63.77,3836,0,Maharashtra,2014,510,530,560,0.911395278391328,535,-1,500,-1,-1,-1,-1,-0.4463,-0.4536,-0.1437,-0.4879,-1.4356 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0:00,78,cbse,2010,84,cbse,8116,2,B.Tech/B.E.,computer science & engineering,85.78,8116,1,Tamil Nadu,2014,325,435,545,0.842248322257836,485,-1,469,-1,-1,-1,-1,-0.4463,0.2124,1.0859,0.2727,-0.6692 +train,955377,330000.00,12/1/2014 0:00,present,software test engineer,Mumbai,m,3/12/1991 0:00,76,icse,2010,70,icse,172,2,B.Tech/B.E.,information technology,68,172,0,Uttar Pradesh,2014,625,470,535,0.622642915849938,505,-1,407,-1,-1,-1,-1,0.7027,0.3789,0.1637,-0.6147,-0.0943 +train,352906,150000.00,6/1/2013 0:00,8/1/2013 0:00,sales executive,Bangalore,m,10/7/1990 0:00,83.33,board of secondary education,2008,81.4,board of intermediate education,9481,2,B.Tech/B.E.,electronics and communication engineering,61.92,9481,0,Tamil Nadu,2012,425,405,495,0.124502074009537,235,233,-1,358,-1,233,-1,0.6646,-2.3073,-0.344,1.5899,0.0679 +train,1279785,180000.00,7/1/2013 0:00,present,java software engineer,Visakhapatnam,m,9/20/1991 0:00,76.7,state board,2009,90.1,state board,3913,2,B.Tech/B.E.,computer science & 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0:00,present,software engineer,Bangalore,m,6/4/1991 0:00,84,icse,2009,72,cbse,8432,2,B.Tech/B.E.,computer science & engineering,83.8,8432,1,West Bengal,2013,770,460,465,0.995464718630865,685,-1,-1,-1,-1,-1,-1,0.1282,0.5454,1.2396,-0.6147,0.8637 +train,859668,330000.00,8/1/2013 0:00,8/1/2014 0:00,system engineer,Chennai,m,6/9/1991 0:00,85.4,cbse,2008,68,cbse,8351,1,B.Tech/B.E.,electrical engineering,69.4,8351,0,Karnataka,2013,765,640,680,0.875503907349337,395,324,-1,-1,516,-1,-1,1.1336,1.3779,1.0859,-0.8682,0.0973 +train,1083037,310000.00,9/1/2014 0:00,present,quality assurance test engineer,-1,m,5/19/1992 0:00,82.1,state board,2010,72.1,state board,13697,2,B.Tech/B.E.,electronics and communication engineering,73.6,13697,1,West Bengal,2014,805,565,645,0.338786347219528,465,292,-1,-1,-1,-1,-1,-0.4463,-0.4536,-1.6807,0.3995,-1.244 +train,237243,150000.00,6/1/2012 0:00,7/1/2013 0:00,system engineer,Dharuhera,m,7/12/1988 0:00,71.66,hbse,2006,73.8,hbse,47,1,B.Tech/B.E.,computer 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0:00,5/1/2015 0:00,system engineer,Mumbai,m,6/9/1991 0:00,79.8,0,2008,77,0,4368,2,B.Tech/B.E.,information technology,81.6,4368,0,Orissa,2012,515,445,495,0.793580614548506,495,-1,-1,-1,-1,-1,-1,0.6646,1.9048,2.1234,3.3525,1.1343 +train,580044,145000.00,10/1/2012 0:00,5/1/2013 0:00,operation executive,Jaipur,m,12/4/1990 0:00,81.8,cbse,2008,63.6,cbse,7783,2,B.Tech/B.E.,electronics and communication engineering,63.18,7783,1,Rajasthan,2012,500,545,485,0.538386892985096,-1,333,-1,-1,-1,-1,-1,-1.1644,0.7119,-0.2974,1.4136,0.0973 +train,309190,180000.00,12/1/2012 0:00,12/1/2013 0:00,network engineer,Noida,m,2/6/1986 0:00,48,up board,2004,63.6,up board,5904,2,B.Tech/B.E.,electronics and communication engineering,58,5904,0,Uttar Pradesh,2012,515,465,425,0.910770164246022,-1,433,-1,-1,-1,313,-1,-0.1082,-0.1232,0.3817,-0.4078,-1.0774 +train,1212036,185000.00,6/1/2014 0:00,5/1/2015 0:00,ios developer,Gurgaon,m,6/10/1992 0:00,68,cbse,2010,65,cbse,1621,2,B.Tech/B.E.,computer science & 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electrical engineering,84.3,6609,1,Tamil Nadu,2012,725,595,605,0.538386892985096,475,333,-1,-1,-1,-1,-1,-1.2287,1.2808,-1.9405,1.76613,0.1864 +train,628333,180000.00,3/1/2014 0:00,4/1/2015 0:00,research associate,Kanpur,f,11/1/1991 0:00,88.3,cbse,2009,65.2,cbse,429,2,B.Tech/B.E.,computer engineering,79.84,429,0,Uttar Pradesh,2013,580,475,635,0.600057182338341,435,-1,-1,-1,-1,-1,-1,1.8517,1.5444,0.4711,-1.8824,1.0554 +train,462008,250000.00,6/1/2012 0:00,4/1/2014 0:00,field based employee relations manager,-1,f,8/19/1988 0:00,68,up borad,2006,72.8,up board,272,2,B.Tech/B.E.,biotechnology,72.27,272,0,Punjab,2011,455,415,455,-1,-1,-1,-1,-1,-1,-1,-1,-2.1175,0.6568,0.9623,0.2973,0.6603 +train,600127,325000.00,2/1/2014 0:00,present,system engineer,Hyderabad,m,7/27/1991 0:00,90,ssc board of andrapradesh,2009,89.4,"board of intermediate education,andra pradesh",9767,2,B.Tech/B.E.,electronics and electrical 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0:00,present,senior network engineer,Gurgaon,m,8/13/1991 0:00,80,cbse,2009,70,cbse,9737,2,B.Tech/B.E.,electronics and communication engineering,71,9737,0,Uttar Pradesh,2013,520,510,385,0.124502074009537,-1,233,-1,-1,-1,-1,-1,-3.4624,-5.7816,-4.6009,-0.3612,-6.9925 +train,975278,120000.00,12/1/2014 0:00,present,associate software developer,Bangalore,f,5/2/1993 0:00,79.52,state board,2012,57.5,state board,15922,2,B.Tech/B.E.,computer science & engineering,64.25,15922,1,Karnataka,2014,490,455,465,0.842248322257836,495,-1,469,-1,-1,-1,-1,-0.159,-0.2871,0.3174,-2.2627,1.247 +train,103579,375000.00,3/1/2013 0:00,present,programmer analyst,Chennai,m,6/24/1988 0:00,88,matric,2006,83,state board,4289,2,B.Tech/B.E.,electronics and instrumentation engineering,77.91,4289,1,Tamil Nadu,2010,275,435,445,0.124502074009537,-1,233,-1,-1,-1,-1,-1,-1.0355,-0.2793,-1.5051,0.0623,-1.8673 +train,1251578,335000.00,6/1/2014 0:00,present,java developer,Mumbai,m,9/19/1991 0:00,93.6,state board,2009,84.8,state board,108,2,B.Tech/B.E.,computer science & engineering,75.3,108,0,Madhya Pradesh,2014,745,505,630,0.996744486852253,645,-1,623,-1,-1,-1,-1,0.8463,0.3789,-0.2974,-0.4879,-0.0943 +train,1080089,200000.00,5/1/2012 0:00,8/1/2012 0:00,.net developer,Ahmedabad,m,6/9/1991 0:00,89.29,state board,2008,69.6,state board,5493,2,M.Tech./M.E.,computer science & engineering,73,5493,1,Gujarat,2014,560,690,605,0.744758354008939,465,-1,438,-1,-1,-1,-1,0.1282,0.7119,0.1637,-0.8682,1.0554 +train,914135,310000.00,6/1/2014 0:00,present,electrical engineer,meerut,m,1/25/1992 0:00,89,cbse,2010,89.6,cbse,51,2,B.Tech/B.E.,electronics and electrical engineering,73.33,51,0,Uttar Pradesh,2014,605,570,635,0.837620725714257,-1,-1,-1,-1,500,-1,-1,0.2718,-1.4526,-2.1418,0.3995,-0.6692 +train,669692,600000.00,10/1/2014 0:00,2/1/2015 0:00,assistant manager,kolkata,m,5/4/1992 0:00,73,state board,2009,71,state board,9699,2,B.Tech/B.E.,information technology,61,9699,1,Rajasthan,2013,180,365,310,0.0745462652358558,255,433,-1,313,-1,-1,322,-2.0262,-1.9521,-2.6028,0.0192,-2.5853 +train,1156225,150000.00,6/1/2014 0:00,present,business analyst,Jaipur,m,6/5/1991 0:00,73,cbse,2009,72,cbse,996,2,B.Tech/B.E.,electronics and communication engineering,65,996,1,Rajasthan,2013,500,520,430,0.493596387301038,375,324,-1,-1,-1,-1,-1,0.5591,1.2114,0.3174,-2.2627,-0.2859 +train,353081,355000.00,3/1/2013 0:00,present,project engineer,-1,m,10/31/1989 0:00,75.3,matric board,2008,73.6,state board,9481,2,B.Tech/B.E.,information technology,65.6,9481,0,Tamil Nadu,2012,615,535,495,0.704090412131314,465,-1,-1,-1,-1,-1,-1,0.7419,0.9688,-0.0537,-0.2609,0.1864 +train,336561,375000.00,12/1/2012 0:00,present,software engineer,Chennai,m,3/18/1988 0:00,61.75,wbbse,2007,61,wbchse,10930,2,B.Tech/B.E.,computer engineering,77.8,10930,1,West Bengal,2012,415,535,615,0.884122511593735,535,-1,-1,-1,-1,-1,-1,0.6646,0.8128,0.0914,-1.34787,-0.7615 +train,988848,110000.00,1/1/2015 0:00,present,android developer,Noida,f,2/17/1993 0:00,78.67,state board,2010,76,state board,137,2,B.Tech/B.E.,information technology,72.14,137,0,Uttar Pradesh,2014,395,470,430,0.998876108102859,415,-1,653,-1,-1,-1,-1,-0.0154,0.5454,0.9322,0.2727,-0.2859 +train,850679,335000.00,12/1/2013 0:00,present,programmer analyst,Bangalore,m,4/2/1992 0:00,90,cbse,2009,70.8,cbse,5256,2,B.Tech/B.E.,instrumentation and control engineering,88.9,5256,0,Orissa,2013,720,475,650,0.446198249677897,485,-1,-1,-1,-1,-1,-1,1.8517,1.0449,-0.6048,0.2727,0.0973 +train,415289,170000.00,11/1/2013 0:00,5/1/2014 0:00,network engineer,Pune,m,1/25/1990 0:00,85.6,"bse,orissa",2007,75.6,"chse,orissa",5818,2,B.Tech/B.E.,electronics & telecommunications,70,5818,0,Orissa,2012,525,505,645,0.538386892985096,-1,333,-1,-1,-1,260,-1,0.0464,0.5008,1.0348,-0.8778,-0.1295 +train,1062611,275000.00,8/1/2014 0:00,present,software engineer,Hyderabad,f,5/15/1993 0:00,82.4,state board,2010,86,state board,3505,2,B.Tech/B.E.,computer science & engineering,69.8,3505,0,Andhra Pradesh,2014,420,545,500,0.622642915849938,485,-1,407,-1,-1,-1,-1,1.4208,0.8784,-0.6048,-1.3753,-0.2859 +train,467660,205000.00,7/1/2013 0:00,present,technical support engineer,Hyderabad,f,5/17/1988 0:00,81,ssc,2008,56.4,board of intermediate education,11849,2,B.Tech/B.E.,computer engineering,65.7,11849,0,Telangana,2012,495,435,375,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-0.2628,0.1888,-0.4891,0.0623,0.6603 +train,445839,300000.00,9/1/2013 0:00,present,sales associate,Noida,f,9/29/1992 0:00,71.6,upboard,2008,69.4,up board,13210,2,B.Tech/B.E.,information technology,73.64,13210,0,Uttar Pradesh,2013,475,565,575,0.377551419424541,375,-1,-1,-1,-1,-1,-1,-0.1855,0.1888,-0.344,0.1798,-0.7615 +train,865959,315000.00,12/1/2014 0:00,present,php developer,Hyderabad,f,6/4/1993 0:00,87,state board,2010,89,state board,12949,1,B.Tech/B.E.,electronics & instrumentation eng,80,12949,1,Telangana,2014,640,525,545,-1,-1,-1,-1,-1,-1,-1,-1,1.1336,1.0449,0.4711,-1.6289,0.8637 +train,329310,200000.00,12/1/2012 0:00,3/1/2014 0:00,network engineer,Hyderabad,m,8/11/1991 0:00,79,0,2008,78.3,0,11656,2,B.Tech/B.E.,electronics and communication engineering,68,11656,0,Andhra Pradesh,2012,465,495,435,0.124502074009537,-1,233,-1,-1,-1,366,-1,1.4374,0.3838,-1.0334,-1.2303,0.3444 +train,123370,280000.00,9/1/2012 0:00,3/1/2014 0:00,quality assurance engineer,Pune,m,1/18/1989 0:00,65,0,2007,67,0,1330,2,B.Tech/B.E.,information technology,54,1330,1,Maharashtra,2011,425,445,355,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-0.1082,1.1248,1.2525,1.8249,1.4502 +train,530518,150000.00,1/1/2014 0:00,8/1/2014 0:00,software developer,Navi Mumbai,m,2/9/1991 0:00,65,cbse,2009,64,cbse,11759,2,B.Tech/B.E.,information technology,79,11759,0,Uttarakhand,2013,465,545,385,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-1.0355,-0.9033,-1.0334,1.5899,-0.7615 +train,1037159,335000.00,1/1/2014 0:00,4/1/2015 0:00,programmer analyst,Chennai,m,11/12/1990 0:00,73.8,cbse,2008,60.8,cbse,5056,2,B.Tech/B.E.,computer science & engineering,85.3,5056,0,Chhattisgarh,2013,630,580,665,0.744758354008939,615,-1,438,-1,-1,-1,-1,0.2718,0.7119,0.3174,-0.8682,0.0973 +train,614083,200000.00,7/1/2014 0:00,present,software developer,-1,m,2/15/1993 0:00,78,state board,2009,73,state board,272,2,B.Tech/B.E.,computer science & engineering,75.6,272,0,Punjab,2014,510,560,605,0.930370607202691,565,-1,-1,-1,-1,-1,-1,-0.0154,0.7119,1.0859,-0.3612,1.0554 +train,592089,460000.00,6/1/2013 0:00,3/1/2015 0:00,operations analyst,Gurgaon,m,9/23/1989 0:00,86.6,cbse,2006,66.6,cbse,8711,2,B.Tech/B.E.,information technology,68.54,8711,0,Uttar Pradesh,2011,605,645,590,0.670743151433127,455,-1,-1,-1,-1,-1,-1,-0.159,-1.1196,-1.0659,-0.3612,-0.0943 +train,391033,350000.00,7/1/2012 0:00,present,software engineer,Mumbai,f,7/14/1990 0:00,79.8,cbse,2008,62,cbse,356,2,B.Tech/B.E.,computer engineering,63.9,356,1,Karnataka,2012,625,505,445,0.377551419424541,375,-1,-1,-1,-1,-1,-1,0.8192,0.9688,-1.2511,-0.2902,0.5024 +train,325701,115000.00,11/1/2012 0:00,1/1/2013 0:00,phone banking officer,Hyderabad,f,7/24/1989 0:00,50.6,cbse,2008,82.8,board of intermediate education,9164,2,B.Tech/B.E.,computer engineering,69.16,9164,1,Telangana,2012,385,355,345,0.342314899911815,365,-1,-1,-1,-1,-1,-1,-0.4173,0.1888,-0.1988,0.884829999999999,-0.1295 +train,335701,430000.00,3/1/2013 0:00,present,java software engineer,Bangalore,m,7/18/1991 0:00,83,ssc-andhra pradesh,2008,96.2,bieap,3174,2,B.Tech/B.E.,electronics and communication engineering,74.26,3174,0,Andhra Pradesh,2012,505,415,535,0.824666400671332,-1,400,-1,-1,-1,313,-1,0.8192,0.9688,0.0552,-0.5253,0.8183 +train,48107,4000000.00,7/1/2010 0:00,3/1/2015 0:00,senior software engineer,New Delhi,m,9/9/1987 0:00,90.83,rbse,2005,88.77,rbse,2857,1,B.Tech/B.E.,computer engineering,72.6,2857,1,Rajasthan,2010,675,685,585,0.990008756723898,655,-1,-1,-1,-1,-1,-1,-0.7264,0.0328,-1.6502,-0.8778,-0.1295 +train,1034769,290000.00,4/1/2014 0:00,4/1/2014 0:00,system engineer,KOLKATA,m,11/3/1990 0:00,76.8,state board,2009,83.6,state board,2066,2,B.Tech/B.E.,information technology,84.8,2066,1,West Bengal,2013,665,570,690,0.842248322257836,395,-1,469,-1,-1,-1,-1,-1.0208,-0.7866,-1.2196,0.2727,-0.8608 +train,641560,2020000.00,6/1/2014 0:00,4/1/2015 0:00,operations analyst,Bangalore,m,7/20/1990 0:00,72,state board,2005,70,state board,1622,2,MCA,computer application,78,1622,0,Madhya Pradesh,2013,430,400,235,0.21678548596901,325,-1,-1,-1,-1,-1,-1,-0.5899,-0.9531,-0.7585,-0.7415,-1.8189 +train,786463,410000.00,7/1/2013 0:00,7/1/2014 0:00,support engineer,Hyderabad,f,8/25/1992 0:00,90,state board,2009,96,state board,11788,2,B.Tech/B.E.,information technology,74.39,11788,0,Andhra Pradesh,2013,555,495,590,0.670743151433127,455,-1,-1,-1,-1,-1,-1,-0.4463,0.0459,-0.4511,0.0192,-0.4776 +train,203510,325000.00,10/1/2011 0:00,8/1/2014 0:00,software test engineer,Bangalore,m,11/28/1989 0:00,87,karnataka state board,2007,78,pre-university board,3716,2,B.Tech/B.E.,electronics and communication engineering,68,3716,1,Karnataka,2011,435,385,365,0.376059586651545,335,300,-1,-1,-1,-1,-1,-0.7264,0.3448,1.1074,-1.1128,0.1864 +train,319644,395000.00,6/1/2012 0:00,4/1/2015 0:00,project engineer,Chennai,f,7/3/1991 0:00,93,0,2008,97,0,11511,2,B.Tech/B.E.,electronics and communication engineering,80.5,11511,0,Andhra Pradesh,2012,585,655,735,0.538386892985096,455,333,-1,-1,-1,-1,-1,-0.880999999999999,1.1248,-2.9565,-0.78967,-1.2354 +train,1122695,125000.00,8/1/2014 0:00,present,technical support engineer,-1,f,4/9/1992 0:00,84,state board,2010,71,state board,2813,2,B.Tech/B.E.,information technology,64,2813,0,Madhya Pradesh,2014,475,470,415,-1,-1,-1,-1,-1,-1,-1,-1,0.2718,-0.2871,0.6248,2.301,-0.6692 +train,922488,200000.00,1/1/2014 0:00,5/1/2014 0:00,application engineer,Chandigarh,m,10/2/1993 0:00,81,cbse,2010,74,cbse,272,2,B.Tech/B.E.,electronics & telecommunications,76,272,0,Punjab,2014,510,605,680,0.338786347219528,485,292,-1,-1,-1,-1,-1,0.99,-0.4536,0.6248,-1.7556,0.6721 +train,920550,160000.00,7/1/2014 0:00,present,research analyst,Noida,f,8/10/1993 0:00,75.6,cbse,2010,83.2,cbse,55,2,B.Tech/B.E.,computer science & engineering,71.1,55,0,Uttar Pradesh,2014,475,460,530,0.744758354008939,405,-1,438,-1,-1,-1,-1,1.2772,1.5444,1.8543,1.0333,1.247 +train,261537,430000.00,3/1/2012 0:00,4/1/2015 0:00,software engineer,Noida,f,12/25/1989 0:00,82,cbse,2007,73,cbse,6874,2,B.Tech/B.E.,electrical engineering,63,6874,0,Uttarakhand,2011,485,355,555,-1,-1,-1,-1,-1,-1,-1,-1,0.0464,-0.2793,-0.344,-0.1727,-0.4455 +train,190589,450000.00,7/1/2011 0:00,4/1/2014 0:00,senior software developer,Chandigarh,f,4/20/1987 0:00,87.4,cbse,2005,83,cbse,4441,1,B.Tech/B.E.,biotechnology,71,4441,0,Madhya Pradesh,2011,645,485,544,-1,355,-1,-1,-1,-1,-1,-1,0.51,0.5008,0.672,0.0623,0.6603 +train,625377,390000.00,8/1/2013 0:00,4/1/2015 0:00,systems engineer,-1,m,11/27/1991 0:00,90.8,cbse,2009,82.2,cbse,9019,2,B.Tech/B.E.,mechanical engineering,75,9019,0,Haryana,2013,580,545,530,0.755375120895548,-1,-1,-1,446,-1,-1,-1,0.1282,0.5454,1.547,-0.7415,0.4805 +train,1262570,145000.00,8/1/2014 0:00,present,quality analyst,Gurgaon,m,7/7/1990 0:00,55,pseb,2008,74,pseb,1759,2,MCA,computer application,81,1759,0,Punjab,2014,385,395,295,0.356536487724475,395,-1,346,-1,-1,-1,-1,1.2772,1.2114,0.9322,-0.6147,1.247 +train,1059966,320000.00,1/1/2014 0:00,present,software test engineer,Mumbai,m,4/22/1991 0:00,90.8,icse,2009,84.8,icse,3151,2,B.Tech/B.E.,electronics and communication engineering,67.87,3151,0,Maharashtra,2013,545,565,525,-1,525,-1,-1,-1,-1,-1,-1,0.99,1.0449,0.3174,-0.6147,0.4805 +train,466730,200000.00,12/1/2014 0:00,present,data analyst,gurgaon,m,8/12/1990 0:00,71,0,2008,58,0,3741,2,B.Tech/B.E.,electronics and electrical engineering,58,3741,0,Uttarakhand,2012,505,545,485,0.376059586651545,-1,300,-1,-1,-1,-1,-1,0.2009,1.4368,0.5269,-0.7603,0.8973 +train,812450,275000.00,8/1/2014 0:00,4/1/2015 0:00,software test engineer,Noida,f,7/11/1989 0:00,62,mp,2007,70,mp,11637,2,B.Tech/B.E.,information technology,74,11637,0,Madhya Pradesh,2012,335,425,455,0.901489571371033,545,-1,-1,-1,-1,-1,-1,0.5591,-0.2871,0.1637,0.5262,-0.0943 +train,192714,650000.00,12/1/2011 0:00,present,database administrator,Hyderabad,m,3/7/1990 0:00,79.8,ssc,2007,90.7,intermediate board,5003,2,B.Tech/B.E.,information technology,68.47,5003,0,Andhra Pradesh,2011,435,335,405,0.143256541032196,295,300,-1,366,-1,-1,340,0.3555,-0.1232,0.0914,0.7673,-0.7615 +train,1068920,180000.00,5/1/2014 0:00,present,associate test engineer,Bangalore,m,3/7/1988 0:00,80.4,state board,2006,75.6,state board,2070,2,M.Tech./M.E.,computer science & engineering,71,2070,1,Karnataka,2013,465,455,620,0.0409993103614119,-1,-1,223,-1,-1,-1,-1,1.4208,0.3789,0.1637,-0.4879,1.4386 +train,915600,215000.00,6/1/2014 0:00,1/1/2015 0:00,entry level management trainee,Mysore,m,6/26/1991 0:00,80.13,state board,2008,69.17,state board,5696,2,B.Tech/B.E.,computer science and technology,60.34,5696,0,Maharashtra,2012,590,440,385,0.996744486852253,475,-1,623,-1,-1,-1,-1,-0.5899,-0.6201,0.4711,-0.3612,-0.2859 +train,322724,415000.00,8/1/2013 0:00,present,systems engineer,Mysore,m,2/1/1991 0:00,81.67,"bse,orissa",2008,69,"chse,orissa",3427,2,B.Tech/B.E.,electronics and communication engineering,89.2,3427,0,Orissa,2012,455,655,595,0.538386892985096,-1,333,-1,-1,-1,-1,-1,-0.4173,0.6568,0.5269,0.8848,-0.1295 +train,295554,450000.00,2/1/2012 0:00,present,senior systems engineer,pune,m,6/12/1989 0:00,83.2,maharashtra state board,2007,80.33,maharashtra state board,127,2,B.Tech/B.E.,information technology,63,127,0,Maharashtra,2011,615,595,565,0.670743151433127,455,-1,-1,-1,-1,-1,-1,-1.4992,0.0328,-0.1988,0.1798,0.0284 +train,820418,400000.00,1/1/2014 0:00,11/1/2014 0:00,software developer,Chandigarh,m,9/9/1992 0:00,94,cbse,2010,84.4,cbse,11127,1,B.Tech/B.E.,information technology,77.5,11127,0,Punjab,2014,640,610,590,0.998876108102859,615,-1,653,-1,-1,-1,-1,0.2718,0.5454,-0.4511,-1.3753,0.0973 +train,836749,305000.00,3/1/2014 0:00,present,programmer analyst trainee,Bangalore,m,6/16/1990 0:00,83,state board,2008,73,state board,11613,2,B.Tech/B.E.,computer science & engineering,61.85,11613,0,Maharashtra,2012,545,580,500,0.911395278391328,435,-1,500,-1,-1,-1,-1,0.1282,0.7119,0.7785,-0.7415,-0.0943 +train,1190687,110000.00,7/1/2013 0:00,1/1/2014 0:00,php developer,dehradun,m,2/7/1992 0:00,70,icse,2008,61,icse,8776,2,B.Tech/B.E.,information technology,67.6,8776,0,Punjab,2012,605,580,655,0.356536487724475,-1,-1,346,-1,-1,-1,-1,1.5644,0.8784,1.2396,-2.643,0.0973 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0:00,64.6,cbse,2008,59.8,cbse,314,2,B.Tech/B.E.,computer science & engineering,69.02,314,1,Karnataka,2013,430,460,415,0.622642915849938,455,-1,407,-1,-1,-1,-1,-0.8772,-2.1186,0.1637,0.653,-3.3518 +train,1066419,335000.00,2/1/2014 0:00,present,programmer analyst,Kolkata,m,2/27/1989 0:00,71.5,icse,2007,64.5,icse,4439,2,B.Tech/B.E.,information technology,63.42,4439,0,Uttar Pradesh,2013,675,530,560,0.622642915849938,435,-1,407,-1,-1,-1,-1,0.2718,0.8784,-0.4511,-1.6289,0.6721 +train,1077690,275000.00,9/1/2014 0:00,present,software engineer,-1,m,6/24/1992 0:00,81.14,icse,2010,76.4,cbse,7627,2,B.Tech/B.E.,electronics and communication engineering,69.2,7627,0,Uttar Pradesh,2014,595,460,595,0.783303536670298,-1,388,-1,-1,-1,-1,-1,1.1336,0.3789,1.2396,-0.8682,1.0554 +train,731119,240000.00,2/1/2014 0:00,4/1/2015 0:00,software engineer,Bangalore,m,6/10/1991 0:00,74.8,state board,2008,71.2,state board,2921,2,B.Tech/B.E.,electronics and communication engineering,81,2921,0,West 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karnataka department of pre-university education,1067,2,B.Tech/B.E.,electronics and communication engineering,65.8,1067,0,Karnataka,2011,625,665,405,0.538386892985096,-1,333,-1,-1,-1,340,-1,0.3555,1.2808,0.0914,0.1798,0.8183 +train,297452,60000.00,7/1/2012 0:00,1/1/2013 0:00,software engineer,Bangalore,m,12/15/1989 0:00,61,0,2007,77,0,3918,2,B.Tech/B.E.,information technology,66,3918,1,Karnataka,2011,464,535,225,0.450876584483451,395,233,-1,260,-1,-1,260,0.0464,0.3448,0.672,0.7673,-0.1295 +train,530430,300000.00,2/1/2014 0:00,present,java developer,Chennai,m,6/23/1992 0:00,76.4,cbse,2009,76,cbse,11759,2,B.Tech/B.E.,computer science & engineering,72,11759,0,Uttarakhand,2013,485,500,485,0.843123726665742,515,-1,-1,-1,-1,-1,-1,0.2009,1.5538,-0.7068,-0.4078,0.5024 +train,596494,120000.00,3/1/2015 0:00,present,seo engineer,Delhi,m,1/11/1989 0:00,67,state board,2008,66.6,state board,44,2,MCA,computer application,71,44,0,Uttar 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0:00,present,assistant system engineer,Noida,m,9/25/1991 0:00,86.4,icse,2009,82.8,icse,11630,2,B.Tech/B.E.,mechanical engineering,71.74,11630,0,Uttar Pradesh,2013,605,585,750,0.654107474545933,-1,-1,-1,420,-1,-1,-1,0.7027,0.3789,0.3174,-0.8682,-1.6273 +train,267786,500000.00,10/1/2011 0:00,5/1/2015 0:00,test engineer,bangalore ,f,11/27/1985 0:00,78,karnataka sslc board bangalore,2004,50.5,karnataka secondary education board,462,2,MCA,computer application,78,462,1,Karnataka,2011,525,495,465,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.8192,-0.5913,-0.1988,0.7673,0.5024 +train,1157697,180000.00,7/1/2014 0:00,4/1/2015 0:00,operation executive,LUCKNOW,m,12/22/1993 0:00,70,state board,2010,74.4,state board,3579,2,B.Tech/B.E.,computer science & engineering,67.5,3579,0,Uttar Pradesh,2014,580,545,585,0.744758354008939,465,-1,438,-1,-1,-1,-1,-1.5953,-0.4536,0.01,-0.8682,-0.0943 +train,827485,350000.00,7/1/2014 0:00,4/1/2015 0:00,software engineer,Noida,m,8/28/1990 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engineering,83.33,14570,0,Bihar,2013,300,510,370,0.356536487724475,385,-1,346,-1,-1,-1,-1,0.1282,0.2124,1.3933,-0.4879,1.0554 +train,359038,400000.00,7/1/2013 0:00,present,territory sales manager,Bundi,m,6/20/1991 0:00,70,hbsc,2008,75,hbsc,7564,2,B.Tech/B.E.,mechanical engineering,70,7564,0,Haryana,2012,355,425,435,0.0684457505037512,-1,-1,-1,254,-1,-1,-1,0.51,-0.1232,-0.9245,0.4148,0.4234 +train,203488,190000.00,6/1/2012 0:00,7/1/2013 0:00,software engineer,Bangalore,m,7/12/1988 0:00,80.32,0,2006,60,0,3716,2,B.Tech/B.E.,computer engineering,56,3716,1,Karnataka,2011,405,525,585,0.952245572924303,585,-1,-1,-1,-1,-1,-1,0.51,0.1888,-0.6343,0.1798,0.1864 +train,794088,220000.00,9/1/2014 0:00,present,management trainee,"SADULPUR,RAJGARH,DISTT-CHURU,RAJASTHAN",m,2/2/1992 0:00,66.6,cbse,2009,71.6,cbse,8346,2,B.Tech/B.E.,computer science & engineering,66.32,8346,0,Uttar Pradesh,2014,325,485,515,0.377551419424541,375,-1,-1,-1,-1,-1,-1,-0.4463,-0.6201,-0.4511,-0.2344,0.4805 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0:00,79.4,cbse,2010,68.3,cbse,7376,2,B.Tech/B.E.,information technology,76,7376,0,Uttar Pradesh,2014,590,510,470,0.744758354008939,415,-1,438,-1,-1,-1,-1,-0.3027,-0.4536,0.3174,1.0333,-0.4776 +train,529431,405000.00,4/1/2013 0:00,present,engineer,Bangalore,m,10/5/1991 0:00,79.4,0,2008,67.6,0,5583,2,B.Tech/B.E.,computer engineering,65.02,5583,0,Karnataka,2012,465,620,590,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-0.1082,0.2668,0.3817,-0.8778,-0.1295 +train,1088654,205000.00,3/1/2014 0:00,present,project coordinator,Kolkata,m,7/7/1990 0:00,81.5,state board,2009,58,state board,2065,2,B.Tech/B.E.,electronics and communication engineering,74.2,2065,1,West Bengal,2013,535,505,500,0.279258511565122,355,-1,-1,-1,-1,292,-1,0.4155,0.5454,0.1637,-0.7415,-0.2859 +train,1088407,120000.00,2/1/2015 0:00,present,software developer,Visakhapatnam,m,8/13/1992 0:00,90,state board,2009,94.5,state board,3693,2,B.Tech/B.E.,electronics and communication 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engineer,-1,m,10/27/1990 0:00,84.14,icse,2009,69.67,icse,1825,1,B.Tech/B.E.,information technology,71.9,1825,0,West Bengal,2013,535,685,444,0.486747008438193,385,-1,376,-1,-1,-1,-1,1.4208,1.0449,0.7785,-0.6147,0.4805 +train,299447,360000.00,8/1/2011 0:00,present,assistant professor,AM,m,12/11/1988 0:00,73.06,nagpur board,2007,74,nagpur board,11664,2,M.Tech./M.E.,electronics engineering,8.07,11664,0,Maharashtra,2014,375,245,295,0.694479327708463,125,366,-1,473,-1,-1,260,-2.7357,-2.3073,-0.7794,0.4148,-1.5513 +train,687711,300000.00,6/1/2014 0:00,present,software engineer,noida,m,10/31/1990 0:00,83.2,cbse,2009,67,state board,7814,2,B.Tech/B.E.,computer science & engineering,70.7,7814,0,Orissa,2013,565,615,445,0.744758354008939,295,-1,438,-1,-1,-1,-1,-1.4517,0.2124,0.1637,-0.7415,-0.8608 +train,553393,180000.00,8/1/2013 0:00,7/1/2014 0:00,quality assurance test engineer,New Delhi,f,10/24/1990 0:00,83.4,cbse,2008,88.2,cbse,13210,2,B.Tech/B.E.,electronics and communication engineering,72.3,13210,0,Uttar Pradesh,2013,450,450,445,0.124502074009537,-1,233,-1,-1,-1,-1,-1,0.4155,0.3789,1.2396,1.0333,-0.0943 +train,818654,510000.00,8/1/2013 0:00,present,software engineer,noida,f,3/25/1991 0:00,85.6,cbse,2009,87.2,cbse,2027,2,B.Tech/B.E.,information technology,73,2027,0,Haryana,2013,590,585,705,0.622642915849938,515,-1,407,-1,-1,-1,-1,-1.0208,-0.6201,-0.7585,0.2727,-1.4356 +train,1081685,325000.00,11/1/2014 0:00,present,system engineer,Kolkata,m,6/12/1991 0:00,81.6,cbse,2010,65,cbse,14381,2,B.Tech/B.E.,electronics and communication engineering,75,14381,1,West Bengal,2014,665,480,560,0.0531603052826837,495,196,-1,-1,-1,-1,-1,-0.0415,0.3123,0.4711,-0.7415,-0.6692 +train,262768,215000.00,3/1/2014 0:00,4/1/2015 0:00,environmental engineer,New Delhi,m,12/24/1989 0:00,83.6,0,2006,79.6,0,11025,2,B.Tech/B.E.,biotechnology,87.6,11025,0,Uttar Pradesh,2011,605,515,445,-1,-1,-1,-1,-1,-1,-1,-1,0.3555,0.8128,-0.0537,1.9424,0.1864 +train,1089751,150000.00,6/1/2014 0:00,5/1/2015 0:00,customer service representative,New Delhi,m,2/26/1991 0:00,76.6,cbse,2009,75,cbse,9737,2,B.Tech/B.E.,mechanical engineering,69,9737,0,Uttar Pradesh,2013,455,410,370,-1,405,-1,-1,-1,-1,-1,-1,0.4155,0.5454,1.547,0.1459,0.6721 +train,341591,585000.00,8/1/2012 0:00,present,assistant manager,Mumbai,m,11/12/1990 0:00,92.93,0,2008,91,0,127,2,B.Tech/B.E.,electronics and communication engineering,72.55,127,0,Maharashtra,2012,475,615,645,0.824666400671332,-1,400,-1,-1,-1,-1,-1,0.2009,0.0328,-1.2148,-0.407769999999999,-0.643 +train,1062180,80000.00,6/1/2014 0:00,9/1/2014 0:00,management trainee,Jabalpur,m,6/28/1991 0:00,74,cbse,2009,66.8,cbse,13801,2,B.Tech/B.E.,electronics and communication engineering,68.9,13801,0,Madhya Pradesh,2013,535,505,510,0.338786347219528,-1,292,-1,-1,-1,-1,-1,-0.5899,-2.2851,-0.7585,0.0192,-2.5853 +train,215660,105000.00,8/1/2014 0:00,4/1/2015 0:00,java software engineer,Kolkata,m,5/27/1989 0:00,69.2,jharkhand academic council,2007,58.6,jharkhand academic council,5026,2,B.Tech/B.E.,electronics and communication engineering,63,5026,0,Orissa,2011,605,435,505,0.538386892985096,305,333,-1,-1,-1,233,-1,0.2009,-0.4353,-0.0537,1.1199,0.3444 +train,261601,80000.00,8/1/2011 0:00,10/1/2012 0:00,software developer,Dehradun,m,4/3/1988 0:00,73.2,cbse,2005,60.8,cbse,6874,2,MCA,computer application,67,6874,0,Uttarakhand,2011,425,445,435,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-1.6538,-1.2153,-2.2308,0.7673,0.6603 +train,1284437,200000.00,1/1/2015 0:00,7/1/2015 0:00,web designer and seo,Bikaner,f,11/16/1992 0:00,90.6,cbse,2010,78.8,cbse,6874,2,B.Tech/B.E.,computer science & engineering,79.57,6874,0,Uttarakhand,2015,830,455,545,0.884122511593735,535,-1,-1,-1,-1,-1,-1,0.5591,0.8784,0.7785,-1.3753,0.4805 +train,838141,180000.00,6/1/2013 0:00,present,process associate,-1,m,7/27/1991 0:00,85,state board,2008,78,state board,1234,2,B.Tech/B.E.,computer engineering,77,1234,1,Tamil 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engineer,Noida,m,10/8/1991 0:00,63,state board,2009,69,state board,11630,2,B.Tech/B.E.,information technology,63.43,11630,0,Uttar Pradesh,2013,500,440,455,0.342314899911815,365,-1,-1,-1,-1,-1,-1,0.1282,0.5454,0.7785,-0.995,-0.0943 +train,1275097,105000.00,7/1/2014 0:00,present,customer service,Pune,f,11/23/1991 0:00,77.84,state board,2009,70.15,state board,3056,2,B.Tech/B.E.,electronics & telecommunications,62.79,3056,0,Maharashtra,2013,525,545,405,0.207392169717661,-1,260,-1,-1,-1,-1,-1,1.1336,1.0449,-0.1437,-1.6289,1.4386 +train,331122,560000.00,8/1/2014 0:00,present,software engineer,Bangalore,f,10/25/1990 0:00,90,"board of secondary education,ap",2008,93,"board of intermediate education:ap,hyderabad",128,2,M.Tech./M.E.,computer engineering,96.7,128,0,Andhra Pradesh,2014,465,595,595,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-0.0696,0.6568,-0.6343,-0.2609,-1.0774 +train,318959,360000.00,8/1/2013 0:00,present,software engineer,Bangalore,m,7/21/1991 0:00,84,"board of secondary 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Kashmir,2011,715,535,635,0.995464718630865,685,-1,-1,-1,-1,-1,-1,-0.5719,0.9688,0.672,-0.5253,-0.6035 +train,1098807,190000.00,6/1/2014 0:00,1/1/2015 0:00,administrative coordinator,-1,m,3/25/1991 0:00,83.5,state board,2008,69.83,state board,13040,2,B.Tech/B.E.,computer science & engineering,79.4,13040,1,West Bengal,2013,500,485,585,0.356536487724475,455,-1,346,-1,-1,-1,-1,1.4208,1.0449,2.008,-1.5021,0.8637 +train,1161576,200000.00,6/1/2014 0:00,3/1/2015 0:00,business analyst,New Delhi,f,3/2/1992 0:00,80.6,cbse,2010,88,cbse,7626,2,B.Tech/B.E.,information technology,72.3,7626,0,Uttar Pradesh,2014,455,470,355,-1,-1,-1,-1,-1,-1,-1,-1,-1.8825,-0.2871,0.7785,1.2869,0.0973 +train,342930,2050000.00,4/1/2015 0:00,present,software engineer trainee,Noida,m,5/16/1991 0:00,64.28,icse,2010,60,icse,10932,2,B.Tech/B.E.,computer science & engineering,62.96,10932,0,Uttar Pradesh,2014,305,425,335,0.486747008438193,185,-1,376,-1,-1,-1,-1,-0.1082,0.5008,1.3977,1.70743,0.1864 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0:00,71.2,cbse,2008,70,cbse,6127,2,B.Tech/B.E.,computer science & engineering,72,6127,0,Tamil Nadu,2013,570,445,535,0.744758354008939,455,-1,438,-1,-1,-1,-1,0.2718,0.0459,1.3933,0.0192,0.8637 +train,824917,105000.00,10/1/2014 0:00,5/1/2014 0:00,android developer,-1,m,11/29/1988 0:00,63,icse,2008,55,state board,115,2,MCA,computer application,64,115,0,Punjab,2014,520,545,560,0.622642915849938,445,-1,407,-1,-1,-1,-1,-0.159,0.3789,0.4711,1.4136,-0.2859 +train,282152,320000.00,12/1/2011 0:00,1/1/2013 0:00,programmer analyst,pune,m,2/4/1989 0:00,75.6,up board,2006,69.4,up board,4439,2,B.Tech/B.E.,information technology,64.3,4439,0,Uttar Pradesh,2011,555,575,625,0.793580614548506,495,-1,-1,-1,-1,-1,-1,1.4374,1.1248,1.8331,-2.1704,0.6603 +train,354751,215000.00,12/1/2014 0:00,4/1/2015 0:00,software quality assurance tester,Chennai,f,5/27/1991 0:00,89,state board,2008,86,state board,8985,2,M.Tech./M.E.,computer science & engineering,83,8985,0,Tamil Nadu,2014,395,345,485,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-1.3447,0.8518,0.2729,-0.6428,-0.7615 +train,1010625,120000.00,8/1/2014 0:00,2/1/2015 0:00,java software engineer,Bangalore,m,3/23/1993 0:00,78.6,state board,2010,76.7,state board,1422,2,B.Tech/B.E.,computer science & engineering,68,1422,0,Andhra Pradesh,2014,500,630,680,0.842248322257836,475,-1,469,-1,-1,-1,-1,-0.4463,1.2114,0.4711,-1.1218,-0.6692 +train,1097167,400000.00,6/1/2014 0:00,6/1/2015 0:00,java developer,Hyderabad,f,2/23/1993 0:00,85,state board,2010,81,state board,9198,2,B.Tech/B.E.,computer science & engineering,76.4,9198,1,Telangana,2014,490,555,560,0.842248322257836,475,-1,469,-1,-1,-1,-1,0.99,1.0449,0.7785,-0.4879,-0.0943 +train,1044905,180000.00,12/1/2013 0:00,present,senior risk consultant,Hyderabad,f,6/27/1992 0:00,86,state board,2009,87.7,state board,2468,2,B.Tech/B.E.,electronics and communication engineering,82.33,2468,0,Andhra 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drafter,Hyderabad,f,11/18/1991 0:00,81,state board,2009,93.3,state board,9129,2,B.Tech/B.E.,electronics and communication engineering,74.42,9129,1,Telangana,2013,520,440,605,0.538386892985096,445,333,-1,-1,-1,-1,-1,-1.308,-0.6201,-1.2196,1.2869,-0.8608 +train,958998,100000.00,11/1/2014 0:00,11/1/2015 0:00,management trainee,-1,m,8/10/1992 0:00,63.33,state board,2009,68.15,state board,15863,2,B.Tech/B.E.,mechanical engineering,67.21,15863,1,Rajasthan,2014,345,415,210,0.0329370177076901,-1,-1,-1,223,-1,-1,-1,0.7027,-0.4536,0.4711,0.7798,-0.4776 +train,385303,145000.00,1/1/2013 0:00,present,noc engineer,mohali,m,7/2/1990 0:00,84.2,0,2008,78.6,0,100,2,B.Tech/B.E.,electronics and communication engineering,64.45,100,0,Haryana,2012,525,605,595,0.376059586651545,-1,300,-1,-1,-1,-1,-1,-2.272,0.2668,-0.9245,1.0024,0.6603 +train,539818,420000.00,8/1/2013 0:00,present,business analyst,Noida,f,8/23/1990 0:00,81.2,icse,2008,80.25,icse,107,1,B.Tech/B.E.,electronics and communication engineering,70.12,107,0,Haryana,2013,605,545,705,0.910770164246022,355,433,-1,-1,-1,-1,-1,-0.7651,0.5008,0.0914,0.7967,-0.1295 +train,1063875,325000.00,2/1/2014 0:00,present,systems engineer,Bangalore,m,1/25/1991 0:00,78.2,state board,2009,66,cbse,13846,2,B.Tech/B.E.,electronics & telecommunications,71.2,13846,0,Chhattisgarh,2013,545,540,630,0.338786347219528,445,292,-1,-1,-1,-1,-1,1.5644,1.5444,0.6248,-1.6289,0.8637 +train,1019681,200000.00,9/1/2014 0:00,present,android developer,-1,m,5/1/1992 0:00,75.6,state board,2008,76.77,state board,15401,2,B.Tech/B.E.,computer science & engineering,66,15401,1,Rajasthan,2013,475,545,620,0.744758354008939,525,-1,438,-1,-1,-1,-1,-2.1698,-0.4536,1.0859,1.794,1.0554 +train,1218778,180000.00,3/1/2014 0:00,present,software quality assurance analyst,New Delhi,m,12/7/1991 0:00,80,cbse,2010,63,cbse,15866,2,B.Tech/B.E.,computer science & engineering,66,15866,0,Haryana,2014,570,485,430,0.486747008438193,465,-1,376,-1,-1,-1,-1,-1.1644,-0.6201,-1.9881,-0.1076,-1.6273 +train,800117,105000.00,12/1/2014 0:00,3/1/2015 0:00,java developer,-1,m,8/12/1993 0:00,70.06,state board,2010,65,state board,12515,2,B.Tech/B.E.,computer science & engineering,64.06,12515,1,Rajasthan,2014,335,400,280,0.0409993103614119,495,-1,223,-1,-1,-1,-1,-2.7443,-2.4516,-3.0639,-0.4879,-3.5434 +train,339705,240000.00,12/1/2012 0:00,present,software engineer,Noida,f,12/4/1990 0:00,59.6,uttar pradesh board,2008,67.6,uttar pradesh board,11368,2,B.Tech/B.E.,information technology,74,11368,0,Uttar Pradesh,2012,435,545,455,0.765673581234011,485,-1,-1,-1,-1,-1,-1,0.2782,0.8128,0.5269,-0.34897,-0.6035 +train,600992,240000.00,7/1/2012 0:00,8/1/2013 0:00,assistant manager,Chennai,m,5/30/1987 0:00,94.4,jawahar navodaya vidyalaya,2006,65.9,science college,4889,2,B.Tech/B.E.,computer engineering,81.8,4889,1,Tamil Nadu,2012,510,555,825,0.704090412131314,465,-1,-1,-1,-1,-1,-1,1.9953,1.5444,0.3174,-1.8824,-0.0943 +train,1053599,125000.00,11/1/2014 0:00,7/1/2014 0:00,sales executive,india,f,5/4/1993 0:00,62,cbse,2010,60,cbse,9021,2,B.Tech/B.E.,computer science & engineering,71.65,9021,0,Haryana,2014,265,285,320,0.165633091512476,305,-1,-1,-1,-1,-1,-1,-0.0154,-0.1206,-0.4511,-0.8682,0.0973 +train,965697,300000.00,11/1/2014 0:00,present,design engineer,Kolkata,m,1/22/1991 0:00,88.7,icse,2009,78.2,icse,11169,2,B.Tech/B.E.,mechanical engineering,91,11169,0,West Bengal,2014,545,520,535,0.459015840492937,-1,-1,-1,376,-1,-1,-1,-2.0262,-3.1176,-1.9881,-0.1076,-3.3518 +train,276426,350000.00,6/1/2011 0:00,6/1/2012 0:00,technical support engineer,Noida,f,6/18/1988 0:00,78.4,icse,2006,79,isc,10599,2,B.Tech/B.E.,information technology,75,10599,0,Punjab,2011,575,485,495,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.7264,1.1248,-1.9405,-0.1727,0.9763 +train,843047,200000.00,10/1/2012 0:00,11/1/2013 0:00,android developer,New Delhi,f,11/3/1989 0:00,69,state board,2007,82,state board,11516,2,B.Tech/B.E.,computer science & engineering,73,11516,0,Haryana,2012,300,560,605,0.356536487724475,485,-1,346,-1,-1,-1,-1,1.5644,1.3779,1.3933,0.3995,1.6302 +train,810702,180000.00,8/1/2014 0:00,present,industrial engineer,Asansol,m,4/20/1992 0:00,85.2,cbse,2009,79.6,cbse,64,2,B.Tech/B.E.,electronics and instrumentation engineering,65.3,64,0,Uttar Pradesh,2014,380,440,415,0.493596387301038,315,324,-1,-1,-1,-1,-1,-0.0154,-1.2861,1.0859,0.7798,-0.0943 +train,356285,180000.00,8/1/2013 0:00,9/1/2014 0:00,service coordinator,Jaipur,m,10/13/1990 0:00,76.6,cbse,2008,82.2,cbse,2927,2,B.Tech/B.E.,electronics and communication engineering,76.8,2927,1,Rajasthan,2012,485,525,505,0.229481754911755,395,266,-1,-1,-1,-1,-1,-1.2287,0.8128,0.0914,-0.0846,-0.2875 +train,227582,540000.00,4/1/2012 0:00,4/1/2015 0:00,it engineer,Noida,m,10/14/1987 0:00,74,0,2005,76.8,0,2774,2,MCA,computer application,74,2774,0,Madhya Pradesh,2011,645,555,595,0.942116551485008,575,-1,-1,-1,-1,-1,-1,0.3555,0.5008,0.3817,-0.1727,0.5024 +train,661253,300000.00,3/1/2014 0:00,8/1/2014 0:00,programmer analyst trainee,-1,f,1/7/1992 0:00,82,state board,2009,83,state board,12860,2,B.Tech/B.E.,electronics and communication engineering,76.3,12860,1,Telangana,2013,275,390,340,0.229481754911755,214,266,-1,-1,-1,286,-1,0.99,1.2114,0.4711,-0.2344,0.2889 +train,666201,325000.00,6/1/2014 0:00,present,java developer,Bangalore,m,3/26/1992 0:00,88.4,cbse,2010,86.4,cbse,47,1,B.Tech/B.E.,computer science & engineering,76,47,1,Delhi,2014,605,665,605,0.916869961103619,555,-1,-1,-1,-1,-1,-1,0.4155,1.0449,1.0859,-0.995,0.2889 +train,624733,300000.00,8/1/2013 0:00,present,programmer analyst,Chennai,m,8/29/1992 0:00,87.8,state board,2009,91.25,state board,6996,2,B.Tech/B.E.,computer engineering,78.9,6996,1,Tamil Nadu,2013,590,495,545,0.450876584483451,395,-1,-1,-1,-1,-1,-1,1.4208,0.8784,0.6248,-0.6147,0.6721 +train,1136149,305000.00,8/1/2014 0:00,present,programmer analyst,Pune,f,10/13/1992 0:00,90.4,cbse,2010,88.2,cbse,5812,2,B.Tech/B.E.,information technology,77.9,5812,1,Rajasthan,2014,755,540,630,0.953899775079926,495,-1,530,-1,-1,-1,-1,-0.3027,0.7119,-0.4511,0.7798,0.4805 +train,256680,520000.00,3/1/2012 0:00,present,java software engineer,Bangalore,m,8/25/1989 0:00,59,icse,2007,54.14,puc,1461,2,B.Tech/B.E.,information technology,58,1461,0,Karnataka,2011,445,335,455,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.4173,-0.4353,-0.9245,1.8249,-0.2875 +train,1265323,240000.00,1/1/2015 0:00,7/1/2015 0:00,human resources intern,Hyderabad,m,3/30/1994 0:00,87.5,state board,2011,92,state board,495,2,B.Tech/B.E.,information technology,76.47,495,1,Telangana,2015,430,555,500,0.916869961103619,555,-1,-1,-1,-1,-1,-1,-2.6007,-0.6201,-0.4511,1.9207,-0.4776 +train,833102,165000.00,4/1/2014 0:00,present,software quality assurance tester,Noida,m,12/25/1993 0:00,65,state board,2009,55.55,state board,382,2,B.Tech/B.E.,computer science & engineering,65.66,382,0,Uttar Pradesh,2014,335,460,400,-1,-1,-1,-1,-1,-1,-1,-1,-1.8825,-2.2851,-1.8344,0.1459,-1.4356 +train,800018,305000.00,4/1/2014 0:00,present,technical support engineer,Noida,m,3/6/1990 0:00,72.6,cbse,2009,57.6,cbse,2813,2,B.Tech/B.E.,computer science & engineering,67,2813,0,Madhya Pradesh,2013,640,585,680,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.0154,-0.6201,-1.527,-0.7415,-0.0943 +train,113676,550000.00,5/1/2011 0:00,10/1/2014 0:00,senior quality assurance engineer,Bangalore,m,1/20/1987 0:00,82,kseeb,2006,63,karnatak pu board,712,2,B.Tech/B.E.,computer engineering,69.11,712,0,Karnataka,2010,475,485,464,0.488347976782714,405,-1,-1,-1,-1,-1,-1,0.0464,-0.2793,-1.0697,0.2973,-1.0774 +train,1157412,350000.00,7/1/2014 0:00,4/1/2015 0:00,systems engineer,Hyderabad,f,8/11/1992 0:00,84.4,cbse,2010,70.1,cbse,3579,2,B.Tech/B.E.,electronics and communication engineering,74.15,3579,0,Uttar Pradesh,2014,615,545,500,0.999829171678571,-1,612,-1,-1,580,-1,-1,1.8517,1.0449,0.01,-2.3895,0.8637 +train,385354,355000.00,12/1/2012 0:00,present,java software engineer,Gurgaon,m,8/9/1990 0:00,77.8,cbse,2008,78.8,cbse,6739,2,B.Tech/B.E.,computer engineering,82.16,6739,0,Haryana,2012,435,515,545,0.901489571371033,545,-1,-1,-1,-1,-1,-1,0.9737,0.1498,0.163999999999999,0.1798,-0.4455 +train,929961,240000.00,6/1/2014 0:00,4/1/2015 0:00,software engineer,Bangalore,m,8/14/1991 0:00,81,cbse,2009,67,cbse,10266,2,B.Tech/B.E.,information science engineering,65,10266,1,Karnataka,2014,430,340,415,0.744758354008939,475,-1,438,-1,-1,-1,-1,-1.0208,-0.9531,0.01,1.0333,-0.8608 +train,440759,140000.00,6/1/2013 0:00,8/1/2014 0:00,software trainee,New Delhi,m,1/16/1991 0:00,89.3,cbse,2007,76.4,cbse,35,1,B.Tech/B.E.,electronics and communication engineering,76.91,35,1,Delhi,2012,535,465,605,0.538386892985096,-1,333,-1,-1,-1,366,-1,-2.272,-0.4353,-0.344,2.4125,0.1864 +train,1111450,350000.00,7/1/2014 0:00,present,java software engineer,Bangalore,m,12/23/1991 0:00,84,icse,2010,85,icse,3579,2,B.Tech/B.E.,computer science & engineering,73.4,3579,0,Uttar Pradesh,2014,640,605,605,0.911395278391328,575,-1,500,-1,-1,-1,-1,-0.0154,0.5454,0.4711,-0.4879,-0.0943 +train,324574,375000.00,1/1/2013 0:00,5/1/2015 0:00,project engineer,chennai,m,5/30/1991 0:00,90.1,0,2009,95.65,0,6609,2,B.Tech/B.E.,computer engineering,70.1,6609,1,Tamil Nadu,2012,435,365,375,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-0.4173,0.5008,-0.7794,1.35483,0.1864 +train,328236,390000.00,11/1/2012 0:00,present,system engineer,-1,m,10/21/1990 0:00,83.83,icse,2008,79.83,isc,55,2,B.Tech/B.E.,information technology,72.16,55,0,Uttar Pradesh,2012,475,465,565,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-1.9629,0.1498,0.925999999999999,0.53233,-0.4455 +train,454662,300000.00,7/1/2012 0:00,2/1/2013 0:00,php developer,Bangalore,m,1/3/1990 0:00,69,cbse,2007,62,cbse,272,2,B.Tech/B.E.,computer engineering,68,272,0,Punjab,2012,455,435,395,0.377551419424541,375,-1,-1,-1,-1,-1,-1,0.3555,0.6178,-0.1626,-0.2902,-0.6035 +train,321231,250000.00,12/1/2012 0:00,5/1/2014 0:00,clerical assistant,New Delhi,m,12/31/1988 0:00,85.4,cbse,2006,68.6,cbse,47,1,B.Tech/B.E.,electronics and communication engineering,73.75,47,1,Delhi,2012,545,525,615,0.998680245681687,-1,566,-1,-1,-1,-1,-1,0.9737,-0.1232,-1.0697,-0.05527,-0.643 +train,638264,180000.00,7/1/2012 0:00,10/1/2014 0:00,network engineer,Chennai,m,7/18/1990 0:00,79.4,state board,2008,75.91,state board,4566,2,B.Tech/B.E.,information technology,73.5,4566,0,Tamil Nadu,2012,415,435,195,0.190153405601018,315,-1,-1,-1,-1,-1,-1,-2.0262,-3.7836,-2.7565,0.1459,-6.8009 +train,742427,300000.00,8/1/2013 0:00,present,software test engineer,-1,f,11/18/1992 0:00,91.33,state board,2009,94.7,state board,5931,2,B.Tech/B.E.,electronics and communication engineering,81.11,5931,0,Andhra Pradesh,2013,475,425,515,0.868736585485218,445,-1,-1,-1,-1,420,-1,-1.0208,-1.2861,-1.0659,-0.995,-0.6692 +train,389427,100000.00,11/1/2012 0:00,5/1/2013 0:00,quality engineer,-1,f,5/28/1989 0:00,74.4,cbse,2006,71,cbse,7557,2,MCA,computer application,75.88,7557,1,Delhi,2012,375,395,375,0.600057182338341,435,-1,-1,-1,-1,-1,-1,0.8192,-0.5913,0.2366,1.5899,-0.406 +train,29042,470000.00,8/1/2010 0:00,5/1/2015 0:00,project engineer,Hyderabad,m,8/25/1988 0:00,72,cbse,2006,62,cbse,894,2,B.Tech/B.E.,computer engineering,75,894,0,Tamil Nadu,2010,385,395,455,0.450876584483451,395,-1,-1,-1,-1,-1,-1,0.0464,0.5008,0.0914,-0.1727,0.0284 +train,919445,325000.00,2/1/2015 0:00,4/1/2015 0:00,system engineer,Mysore,m,8/25/1991 0:00,73.4,cbse,2009,68,cbse,7376,2,B.Tech/B.E.,mechanical engineering,76.83,7376,0,Uttar Pradesh,2014,475,525,515,0.459015840492937,-1,-1,-1,376,-1,-1,-1,-0.5899,-0.6201,0.7785,-0.6147,0.0973 +train,450428,165000.00,5/1/2014 0:00,1/1/2015 0:00,technical support engineer,Noida,m,8/8/1991 0:00,76.4,aisse,2009,66.2,aissce,3802,2,B.Tech/B.E.,electronics and electrical engineering,68.6,3802,0,Uttar Pradesh,2013,425,335,555,0.229481754911755,-1,266,-1,-1,-1,-1,-1,-1.4992,-1.3713,-1.5051,-0.0552,-2.0648 +train,311565,460000.00,12/1/2011 0:00,present,php developer,-1,m,6/1/1989 0:00,80.07,karnataka board of higher education,2007,70.66,pre university board of karnataka,4569,2,B.Tech/B.E.,computer engineering,61.29,4569,0,Karnataka,2011,465,555,435,0.765673581234011,485,-1,-1,-1,-1,-1,-1,1.5533,0.5008,1.1074,0.62043,0.1864 +train,466789,420000.00,11/1/2013 0:00,present,java developer,Bangalore,m,4/20/1989 0:00,71,bihar,2008,59.4,bihar,3741,2,B.Tech/B.E.,computer science & engineering,67,3741,0,Uttarakhand,2012,515,565,655,0.953899775079926,565,-1,530,-1,-1,-1,-1,0.51,-0.0842,-0.8157,-0.0552,0.0284 +train,113192,620000.00,2/1/2011 0:00,4/1/2015 0:00,software engineer,Gurgaon,m,2/20/1989 0:00,86.8,cbse,2005,62,cbse,1015,2,B.Tech/B.E.,computer engineering,71.9,1015,0,Rajasthan,2010,765,605,555,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-1.9629,0.3448,0.3817,-0.0552,1.1343 +train,1267511,105000.00,11/1/2014 0:00,12/1/2014 0:00,java software engineer,Tirunelvelli,m,10/21/1989 0:00,72,state board,2008,68,state board,883,2,MCA,computer application,70,883,0,Tamil Nadu,2015,315,395,320,0.356536487724475,495,-1,346,-1,-1,-1,-1,-0.5899,-0.6201,-0.1437,0.0192,-2.0105 +train,288761,95000.00,7/1/2011 0:00,2/1/2012 0:00,design engineer,Ernakulam,m,9/15/1988 0:00,92,kerala state board,2007,80,kerala state board,1275,2,B.Tech/B.E.,mechanical engineering,64.16,1275,0,Kerala,2011,565,375,375,0.414337426422751,-1,-1,-1,366,-1,-1,-1,0.8192,-0.2793,-0.1988,-0.6428,0.0284 +train,276909,135000.00,5/1/2012 0:00,9/1/2013 0:00,software enginner,Jaipur,m,7/5/1988 0:00,72.17,rbse,2006,58.92,rbse,2927,2,B.Tech/B.E.,information technology,64,2927,1,Rajasthan,2011,395,405,515,0.700826161753383,464,-1,-1,-1,-1,-1,-1,0.0464,1.2808,0.9623,1.8249,0.3444 +train,487704,144000.00,7/1/2013 0:00,present,quality engineer,Greater Noida,m,9/10/1992 0:00,63.5,up board,2009,66,uo board,10932,2,B.Tech/B.E.,mechanical engineering,63,10932,0,Uttar Pradesh,2013,455,475,375,0.273500330399518,-1,-1,-1,332,-1,-1,-1,0.51,0.5008,0.8171,1.2374,0.1864 +train,1044443,240000.00,1/1/2015 0:00,present,php developer,New Delhi,f,10/21/1991 0:00,69.17,state board,2009,65,state board,51,2,B.Tech/B.E.,computer science & engineering,71.78,51,0,Uttar Pradesh,2013,510,470,370,0.525922584252055,415,-1,-1,-1,-1,-1,-1,0.7027,0.7119,1.0859,0.7798,-0.2859 +train,813058,320000.00,8/1/2013 0:00,11/1/2014 0:00,software engineer,Noida,m,4/15/1991 0:00,88.7,cicse,2009,89.6,cicse,7861,2,B.Tech/B.E.,information technology,81.7,7861,1,West Bengal,2013,625,705,795,0.916869961103619,555,-1,-1,-1,-1,-1,-1,0.99,0.8784,-0.2974,-0.3612,0.8637 +train,278780,350000.00,9/1/2012 0:00,present,software engineer,Navi Mumbai,f,10/24/1987 0:00,68.2,icse,2007,55.2,cbse,568,2,B.Tech/B.E.,information technology,69.92,568,0,Uttar Pradesh,2011,545,535,655,0.930370607202691,565,-1,-1,-1,-1,-1,-1,0.0464,0.1888,-1.7954,-1.3478,-0.7615 +train,1133196,150000.00,2/1/2014 0:00,5/1/2014 0:00,technical support engineer,Bangalore,m,12/17/1991 0:00,76.6,cbse,2010,51,state board,15157,2,B.Tech/B.E.,electronics and communication engineering,60.19,15157,1,Karnataka,2014,440,455,225,0.493596387301038,145,324,-1,-1,-1,-1,-1,-0.0154,-0.4536,-0.7585,1.1601,-1.0524 +train,637094,180000.00,10/1/2014 0:00,present,technical engineer,New Delhi,m,7/10/1993 0:00,67.3,icse,2010,63.7,icse,4501,2,B.Tech/B.E.,civil engineering,75.22,4501,0,Uttar Pradesh,2014,415,510,415,0.0165646360498735,345,-1,-1,-1,-1,-1,166,1.1336,0.3789,0.1637,0.653,0.6721 +train,736897,325000.00,2/1/2014 0:00,present,systems engineer,-1,m,1/16/1992 0:00,88.6,cbse,2009,91,cbse,7814,2,B.Tech/B.E.,electronics and electrical engineering,89,7814,0,Orissa,2013,665,610,645,0.649389714846691,505,356,-1,-1,-1,-1,-1,1.5644,1.5444,1.0859,-0.7415,1.0554 +train,1083993,370000.00,3/1/2013 0:00,present,project engineer,Bangalore,f,10/10/1989 0:00,90,cbse,2007,83.2,cbse,1424,2,B.Tech/B.E.,electrical engineering,88.1,1424,0,West Bengal,2012,630,580,560,-1,465,-1,284,-1,-1,-1,-1,0.5591,0.5454,0.1637,-0.3612,1.0554 +train,806067,125000.00,1/1/2014 0:00,12/1/2014 0:00,business analyst,dehradun,m,4/2/1990 0:00,58,state board,2007,63,state board,11759,2,MCA,computer application,55,11759,0,Uttarakhand,2014,265,340,265,0.165633091512476,305,-1,-1,-1,-1,-1,-1,-0.4463,-0.9531,0.01,1.2869,-1.0524 +train,818646,230000.00,6/1/2013 0:00,3/1/2014 0:00,application engineer,-1,f,8/17/1990 0:00,86.4,cbse,2008,83.2,cbse,1139,2,B.Tech/B.E.,electronics & telecommunications,74.25,1139,0,Chhattisgarh,2012,615,605,680,0.943272157866555,-1,452,407,-1,-1,-1,-1,-1.0208,-0.2871,-0.2974,1.4136,0.8637 +train,230211,120000.00,1/1/2012 0:00,4/1/2013 0:00,project assistant,DELHI,m,7/15/1989 0:00,72,cbse,2007,69,cbse,35,1,B.Tech/B.E.,electronics and electrical engineering,70,35,1,Delhi,2011,555,365,565,0.00815477523532182,-1,133,-1,-1,-1,-1,-1,0.2009,-2.6193,-2.3759,-0.0552,0.1864 +train,947697,325000.00,6/1/2014 0:00,present,systems engineer,Chennai,m,5/15/1992 0:00,67.42,icse,2010,85.5,state board,314,2,B.Tech/B.E.,computer science & engineering,75.04,314,1,Karnataka,2014,590,520,605,0.842248322257836,515,-1,469,-1,-1,-1,-1,0.1282,-0.4536,-0.2974,0.5262,-2.0105 +train,618960,100000.00,10/1/2013 0:00,present,software developer,Bhubaneswar,m,7/5/1991 0:00,82,state board,2008,68,state board,3739,2,B.Tech/B.E.,information technology,80,3739,0,Orissa,2012,500,510,485,0.942116551485008,575,-1,-1,-1,-1,-1,-1,-1.0208,0.8784,0.7785,1.9207,0.4805 +train,645192,120000.00,11/1/2013 0:00,6/1/2013 0:00,software developer,-1,m,4/14/1991 0:00,83.8,cbse,2009,70.83,cbse,4466,2,B.Tech/B.E.,computer engineering,70,4466,0,Haryana,2013,570,630,635,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.159,1.2114,1.2396,-0.6147,1.6302 +train,301466,620000.00,4/1/2014 0:00,present,assistant manager,Bilaspur,m,10/1/1987 0:00,81.2,cbse,2006,62.2,cbse,4948,2,B.Tech/B.E.,electronics and communication engineering,65.16,4948,1,Rajasthan,2011,595,544,455,0.376059586651545,-1,300,-1,-1,-1,500,-1,0.6646,0.3448,0.3817,-0.5253,-0.2875 +train,352811,120000.00,1/1/2013 0:00,4/1/2014 0:00,software engineer,Trichy,f,7/22/1991 0:00,84,state board,2008,77,state board,9481,2,B.Tech/B.E.,information technology,75.2,9481,0,Tamil Nadu,2012,345,585,395,0.190153405601018,315,-1,-1,-1,-1,-1,-1,-0.1082,0.0328,-0.4891,-0.2902,0.5024 +train,191027,350000.00,6/1/2011 0:00,6/1/2013 0:00,system engineer,Hyderabad,f,10/23/1986 0:00,81.6,0,2005,77.6,0,11157,1,MCA,computer application,90,11157,0,Jharkhand,2011,505,545,525,0.916869961103619,555,-1,-1,-1,-1,-1,-1,0.2009,-0.4353,-0.0537,-1.3478,0.5024 +train,1233151,150000.00,12/1/2014 0:00,4/1/2015 0:00,quality assurance,Noida,f,6/25/1991 0:00,72,state board,2008,69.8,state board,4501,2,B.Tech/B.E.,information technology,67.84,4501,0,Uttar Pradesh,2014,420,385,440,0.23780283983757,395,-1,315,-1,-1,-1,-1,0.5591,0.3789,0.9322,-0.7415,-0.0943 +train,103323,410000.00,12/1/2010 0:00,3/1/2014 0:00,delivery software engineer,Bangalore,m,7/12/1989 0:00,82,0,2006,85,0,940,2,B.Tech/B.E.,computer engineering,77,940,1,Tamil Nadu,2010,565,465,535,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-2.5811,-0.7473,0.9623,1.8249,0.8183 +train,104408,450000.00,6/1/2012 0:00,1/1/2015 0:00,software engineer,Chennai,f,7/25/1989 0:00,92,state board,2006,71,state board,1010,2,B.Tech/B.E.,information technology,76,1010,1,Karnataka,2010,385,475,445,0.488347976782714,405,-1,-1,-1,-1,-1,-1,0.51,0.3448,-0.0537,-0.6428,0.5024 +train,1031075,280000.00,12/1/2014 0:00,4/1/2015 0:00,software engineer,Bangalore,m,6/12/1993 0:00,82.8,state board,2010,92.4,state 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analyst,Gurgaon,m,4/7/1993 0:00,82.2,cbse,2010,81,cbse,119,1,B.Tech/B.E.,electronics and communication engineering,81,119,0,Uttar Pradesh,2014,395,425,460,0.783303536670298,525,388,-1,-1,-1,-1,-1,1.4208,1.2114,1.7007,-0.7415,0.4805 +train,1007916,220000.00,4/1/2014 0:00,4/1/2015 0:00,technical support engineer,-1,f,3/7/1992 0:00,66.33,state board,2009,60,state board,279,2,B.Tech/B.E.,computer science & engineering,67.38,279,0,Uttar Pradesh,2013,580,595,520,0.276047228046856,345,-1,-1,-1,-1,-1,-1,-0.0154,0.0459,0.9322,-0.1076,-1.244 +train,1196019,325000.00,10/1/2014 0:00,present,assistant system engineer,Mumbai,m,11/5/1990 0:00,89,cbse,2009,80,cbse,55,2,B.Tech/B.E.,computer science & engineering,65.6,55,0,Uttar Pradesh,2014,595,545,500,0.744758354008939,465,-1,438,-1,-1,-1,-1,-0.0154,-0.7866,1.2396,-1.8824,-1.8189 +train,667532,330000.00,6/1/2015 0:00,6/1/2015 0:00,rf engineer,Gurgaon,m,6/18/1994 0:00,66,state board,2010,74,state board,1390,2,B.Tech/B.E.,electronics and communication 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0:00,present,programmer,chennai,m,12/29/1992 0:00,89.2,state board,2010,91.33,state board,883,2,B.Tech/B.E.,electronics and electrical engineering,70,883,0,Tamil Nadu,2014,325,470,415,0.0305659911389536,375,-1,-1,-1,228,-1,-1,0.7027,-0.4536,-0.1437,-0.7415,-0.6692 +train,806476,500000.00,8/1/2014 0:00,present,application developer,Pune,m,1/30/1992 0:00,85.4,cbse,2010,71.6,cbse,11759,2,B.Tech/B.E.,computer science & engineering,84,11759,0,Uttarakhand,2014,555,620,575,0.911395278391328,725,-1,500,-1,-1,-1,-1,-1.8825,0.5454,-1.3733,-0.2344,1.4386 +train,112075,320000.00,8/1/2011 0:00,present,software test engineer,Trivandrum,f,12/19/1987 0:00,76,sslc,2006,77,"board of higher secondary examination, kerala",1000,2,B.Tech/B.E.,computer engineering,68,1000,0,Kerala,2010,465,325,295,0.276047228046856,345,-1,-1,-1,-1,-1,-1,1.59199999999999,0.9688,1.2525,-0.4078,0.8183 +train,35248,480000.00,7/1/2011 0:00,7/1/2013 0:00,software engineer,Noida,m,2/5/1990 0:00,88.3,uttaranchal state board,2006,83.4,uttaranchal state board,44,2,B.Tech/B.E.,information technology,76.58,44,0,Uttar Pradesh,2011,645,605,595,0.901489571371033,545,-1,-1,-1,-1,-1,-1,1.7465,0.8128,0.5269,-2.1704,0.1864 +train,1293567,150000.00,1/1/2015 0:00,5/1/2015 0:00,full stack developer,Patna,m,5/27/1992 0:00,91.4,icse,2010,81.2,cbse,11848,1,B.Tech/B.E.,computer science & engineering,73,11848,0,Bihar,2015,755,640,740,0.998876108102859,685,-1,653,-1,-1,-1,-1,-0.2632,0.8993,-0.4226,-0.3414,0.1275 +train,196429,540000.00,2/1/2012 0:00,4/1/2015 0:00,business systems consultant,Mumbai,m,4/27/1988 0:00,76,0,2006,76,0,115,2,MCA,computer application,66,115,0,Punjab,2011,665,365,375,0.488347976782714,405,-1,-1,-1,-1,-1,-1,-2.1175,-0.2793,0.8171,0.8848,-0.6035 +train,605285,400000.00,1/1/2014 0:00,present,junior engineer,Ranchi,m,6/1/1991 0:00,81.2,state board,2008,66,state board,272,2,B.Tech/B.E.,mechanical engineering,54.54,272,0,Punjab,2013,465,535,400,0.654107474545933,295,-1,-1,420,-1,-1,-1,-0.8772,-0.9531,-1.0659,0.9066,-1.0524 +train,425582,430000.00,3/1/2013 0:00,present,technical support engineer,Bangalore,m,11/3/1990 0:00,68.8,cbse,2008,63,cbse,75,2,B.Tech/B.E.,information technology,65.67,75,0,Uttar Pradesh,2012,305,455,365,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-0.1082,-0.7473,0.2366,0.7673,0.3049 +train,868872,200000.00,3/1/2015 0:00,8/1/2015 0:00,it support specialist,Chennai,f,8/26/1992 0:00,86,state board,2010,84,state board,2959,2,B.Tech/B.E.,electronics and communication engineering,75,2959,0,Tamil Nadu,2014,380,390,500,0.649389714846691,-1,356,-1,-1,292,-1,-1,-0.159,0.3789,1.0859,-0.995,-1.0524 +train,712570,625000.00,2/1/2014 0:00,present,data analyst,-1,m,6/24/1990 0:00,88,state board,2009,84,state board,8351,1,B.Tech/B.E.,mechanical engineering,73.1,8351,0,Karnataka,2013,745,570,695,0.0421924335360157,840,-1,-1,233,-1,-1,-1,-0.7335,-0.7866,-0.4511,-1.5021,-1.8189 +train,362984,450000.00,6/1/2012 0:00,present,software engineer,Gurgaon,m,1/17/1988 0:00,73,wbbsce,2007,64,up,105,2,B.Tech/B.E.,electronics and communication engineering,63.81,105,0,Uttar Pradesh,2012,595,385,535,0.124502074009537,-1,233,-1,-1,-1,-1,-1,-0.4173,0.8128,0.0914,1.5899,-0.2875 +train,337695,380000.00,2/1/2012 0:00,present,database developer,Bangalore,m,2/26/1989 0:00,76,state board,2006,76,0,3076,2,MCA,computer application,70,3076,0,Tamil Nadu,2012,505,545,445,0.884122511593735,535,-1,-1,-1,-1,-1,-1,0.3941,0.5008,-0.6343,0.62043,-1.3934 +train,872500,335000.00,10/1/2014 0:00,8/1/2015 0:00,assistant system engineer,-1,f,7/2/1993 0:00,82.4,icse,2009,69.16,icse,347,2,B.Tech/B.E.,information technology,84,347,0,Uttar Pradesh,2014,615,470,470,0.744758354008939,365,-1,438,-1,-1,-1,-1,0.5591,1.3779,1.2396,-0.995,0.2889 +train,960079,200000.00,12/1/2014 0:00,3/1/2015 0:00,system engineer,Faridabad,m,6/9/1993 0:00,70,state board,2010,57.8,state board,7255,2,B.Tech/B.E.,electronics and communication engineering,63,7255,0,Haryana,2014,335,485,410,0.0531603052826837,-1,196,-1,-1,-1,206,-1,-0.8772,-1.2861,-0.4511,-0.2344,-0.8608 +train,1042309,335000.00,1/1/2014 0:00,present,programmer analyst,Kolkata,m,4/20/1990 0:00,61,cbse,2008,60.4,cbse,2009,2,B.Tech/B.E.,computer science & engineering,76,2009,1,West Bengal,2013,535,480,390,0.23780283983757,515,-1,315,-1,-1,-1,-1,1.4208,1.7109,0.7785,-0.995,-1.4356 +train,330551,145000.00,10/1/2012 0:00,1/1/2013 0:00,get,Hyderabad,m,7/29/1991 0:00,80,ssc,2008,90.6,intermidiate,8818,2,B.Tech/B.E.,mechanical engineering,61,8818,1,Telangana,2012,345,495,575,0.184771576575748,-1,-1,-1,306,-1,-1,-1,1.5533,1.7488,1.688,-1.1422,0.1864 +train,64447,100000.00,4/1/2011 0:00,1/1/2012 0:00,hr recruiter,Bangalore,f,11/14/1988 0:00,77.6,0,2006,74.5,0,1648,2,B.Tech/B.E.,electronics and communication engineering,65.55,1648,1,Karnataka,2010,275,455,395,0.124502074009537,255,233,-1,-1,-1,-1,-1,1.1283,0.9688,1.1074,1.1199,0.8183 +train,1229820,320000.00,12/1/2014 0:00,present,systems engineer,Bangalore,m,8/15/1992 0:00,80.33,state board,2010,83,state board,3801,2,B.Tech/B.E.,industrial & management engineering,80,3801,0,Karnataka,2014,490,445,465,0.924609939432644,-1,-1,-1,-1,-1,-1,-1,0.99,0.5454,0.4711,-1.6289,-2.2021 +train,1122707,275000.00,6/1/2014 0:00,present,software developer,Bangalore,m,8/23/1991 0:00,71.6,state board,2009,80.8,state board,14959,2,B.Tech/B.E.,computer science & engineering,70.38,14959,0,Madhya Pradesh,2013,420,470,415,0.23780283983757,485,-1,315,-1,-1,-1,-1,0.8463,1.2114,-0.6048,1.6672,-0.0943 +train,806544,280000.00,1/1/2014 0:00,10/1/2014 0:00,software test engineer,-1,m,2/14/1993 0:00,74,cbse,2010,70,cbse,11759,2,B.Tech/B.E.,computer science & engineering,75.3,11759,0,Uttarakhand,2014,450,495,575,0.486747008438193,544,-1,376,-1,-1,-1,-1,-2.1698,-2.2851,-0.9122,0.3995,-3.1602 +train,243949,600000.00,2/1/2012 0:00,present,sr. database engineer,Banglore,m,4/15/1990 0:00,74,0,2008,63,0,2656,2,B.Tech/B.E.,electronics and communication engineering,65,2656,0,Haryana,2011,375,445,445,0.0233121682429863,-1,166,-1,-1,-1,260,-1,0.51,-0.7473,0.672,-0.7603,0.0284 +train,50626,180000.00,4/1/2010 0:00,4/1/2011 0:00,software trainee,bangalore,m,5/30/1987 0:00,69,"bseb,patna",2004,62,"bciec,patna",5399,2,B.Tech/B.E.,information technology,80,5399,0,Bihar,2009,545,545,725,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-0.4173,0.0328,-1.2148,1.0024,0.3444 +train,820774,180000.00,7/1/2014 0:00,4/1/2015 0:00,android developer,New Delhi,m,8/13/1991 0:00,59.2,cbse,2009,56,cbse,6741,2,B.Tech/B.E.,computer science & engineering,65,6741,0,Rajasthan,2014,440,555,310,0.911395278391328,555,-1,500,-1,-1,-1,-1,-1.4517,-1.1196,-0.6048,0.9066,-0.8608 +train,807302,120000.00,9/1/2014 0:00,present,graduate apprentice trainee,Faridabad,m,1/18/1992 0:00,69.85,icse,2010,65.2,cbse,11759,2,B.Tech/B.E.,mechanical engineering,66.17,11759,0,Uttarakhand,2014,475,605,470,0.206710618336758,-1,-1,-1,313,-1,-1,-1,-0.4463,0.0459,-0.9122,0.2727,-1.0524 +train,416268,370000.00,4/1/2013 0:00,present,application developer,Noida,f,5/24/1991 0:00,80,0,2008,65,0,53,2,B.Tech/B.E.,computer engineering,76,53,0,Uttar Pradesh,2012,645,515,425,0.563267823666597,425,-1,-1,-1,-1,-1,-1,1.1283,0.3838,-1.2511,-0.7603,0.6603 +train,230806,325000.00,2/1/2013 0:00,4/1/2015 0:00,test engineer,Pune,f,2/10/1989 0:00,87,state board,2006,67,state board,974,2,B.Tech/B.E.,electronics & telecommunications,71,974,0,Maharashtra,2011,345,395,435,0.824666400671332,-1,400,-1,-1,-1,260,-1,0.51,0.9688,0.9623,-0.4078,0.1864 +train,955531,300000.00,5/1/2015 0:00,present,software engineer associate,banglore,f,10/2/1992 0:00,75,cbse,2010,71.6,cbse,17244,2,B.Tech/B.E.,electronics and communication engineering,75.04,17244,0,Uttar Pradesh,2014,465,535,555,0.649389714846691,345,356,-1,-1,-1,473,-1,-0.3027,-0.6201,-3.525,-0.2344,-1.4356 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0:00,82,cbse,2008,70,cbse,129,2,B.Tech/B.E.,industrial engineering,82.7,129,0,Tamil Nadu,2013,485,655,495,-1,525,-1,-1,-1,-1,-1,-1,0.99,1.3779,1.2396,-0.2344,-0.2859 +train,628223,150000.00,1/1/2013 0:00,9/1/2013 0:00,software developer,Kanpur,m,1/5/1992 0:00,68,icse,2009,64,icse,429,2,B.Tech/B.E.,computer science & engineering,61.12,429,0,Uttar Pradesh,2013,415,400,265,0.0800552813405495,404,-1,253,-1,-1,-1,-1,0.99,1.0449,1.7007,1.4136,0.8637 +train,361646,155000.00,1/1/2013 0:00,present,data analyst,Mysore,m,7/29/1990 0:00,79.68,0,2008,65.83,0,1384,2,B.Tech/B.E.,mechanical engineering,79.4,1384,0,Karnataka,2012,435,554,515,0.490636955889964,-1,-1,-1,383,-1,-1,-1,-1.8083,-0.9033,-1.0697,0.2973,-0.406 +train,622548,300000.00,9/1/2013 0:00,4/1/2015 0:00,account executive,New Delhi,f,9/26/1989 0:00,72,icse,2008,62,cbse,272,2,B.Tech/B.E.,computer science & engineering,72.18,272,0,Punjab,2012,500,470,445,-1,-1,-1,-1,-1,-1,-1,-1,0.1282,-0.4536,-0.1437,-0.6147,-0.4776 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0:00,62.34,cbse,2006,59,bice,4504,2,B.Tech/B.E.,electronics and communication engineering,66.66,4504,0,Madhya Pradesh,2011,565,395,555,0.229481754911755,-1,266,-1,-1,-1,340,-1,0.8192,-0.1232,-0.9245,-0.0552,1.1343 +train,1193152,300000.00,4/1/2015 0:00,present,programmer analyst,Chennai,m,11/13/1992 0:00,68.6,cbse,2010,64.8,cbse,1155,2,B.Tech/B.E.,electronics and communication engineering,60.3,1155,0,Uttar Pradesh,2014,535,555,560,-1,-1,-1,-1,-1,-1,-1,-1,1.2772,-0.1206,0.01,-0.6147,-0.8608 +train,1202848,300000.00,4/1/2014 0:00,7/1/2014 0:00,java software engineer,Chennai,m,7/13/1992 0:00,72.6,state board,2009,82.5,state board,12860,2,B.Tech/B.E.,computer science & engineering,77.12,12860,1,Telangana,2013,605,425,295,0.622642915849938,375,-1,407,-1,-1,-1,-1,0.8463,1.3779,0.1637,-2.3895,0.2889 +train,337631,325000.00,2/1/2013 0:00,3/1/2015 0:00,programmer analyst,Chennai,f,8/25/1990 0:00,83.5,0,2008,92.5,0,3076,2,B.Tech/B.E.,information technology,84.5,3076,0,Tamil Nadu,2012,455,515,595,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-1.4606,0.3448,-0.9245,0.26793,-1.2354 +train,1218931,200000.00,10/1/2014 0:00,present,software engineer,Noida,m,1/9/1994 0:00,73.6,cbse,2010,82.8,cbse,12022,2,B.Tech/B.E.,computer science & engineering,74.8,12022,0,Uttarakhand,2014,430,495,535,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.5591,0.5454,0.01,0.1459,-1.4356 +train,214256,500000.00,2/1/2014 0:00,6/1/2014 0:00,associate system engineer,Hyderabad,m,12/19/1991 0:00,77,cbse,2009,79.6,cbse,44,2,B.Tech/B.E.,information technology,71,44,0,Uttar Pradesh,2013,395,455,675,0.960903087163164,595,-1,-1,-1,-1,-1,-1,-0.1082,1.2808,-0.0537,-0.4078,-0.643 +train,246764,100000.00,5/1/2011 0:00,8/1/2012 0:00,project coordinator,Jaipur,m,5/15/1987 0:00,58,bse,2005,52,chse,6570,2,MCA,computer application,61,6570,0,Orissa,2011,455,385,345,0.413838255788123,385,-1,-1,-1,-1,-1,-1,1.59199999999999,-0.2793,0.8171,-1.3478,1.1343 +train,46715,1320000.00,11/1/2011 0:00,5/1/2015 0:00,sales account manager,Dubai,m,9/16/1987 0:00,80,state,2008,72,state,431,2,B.Tech/B.E.,electronics and communication engineering,63,431,0,Tamil Nadu,2010,515,355,455,0.376059586651545,325,300,-1,-1,-1,366,-1,-1.1901,1.4368,0.2366,0.1798,0.0284 +train,743526,300000.00,1/1/2014 0:00,4/1/2014 0:00,software engineer,Bangalore,m,1/13/1992 0:00,94.72,state board,2009,74.83,state board,708,2,B.Tech/B.E.,electronics and communication engineering,63.42,708,0,Karnataka,2013,645,645,765,0.338786347219528,495,292,-1,-1,-1,-1,-1,1.8517,0.8784,1.7007,-2.0092,1.0554 +train,983328,170000.00,7/1/2014 0:00,1/1/2015 0:00,customer service,Noida,f,4/15/1991 0:00,84.6,cbse,2008,75,cbse,387,2,B.Tech/B.E.,biotechnology,76.5,387,0,Uttar Pradesh,2014,455,455,430,0.810620507379027,-1,-1,-1,-1,-1,-1,-1,1.2772,0.7119,1.2396,0.3995,0.6721 +train,296065,620000.00,7/1/2011 0:00,12/1/2014 0:00,senior software developer,Hyderabad,m,5/2/1990 0:00,92.6,mp state board,2007,86.2,isc,5400,2,B.Tech/B.E.,electronics and communication engineering,76.4,5400,0,Madhya Pradesh,2011,575,605,655,0.960603251997053,-1,466,-1,-1,-1,393,-1,-0.5719,0.1888,-0.7794,0.0623,-0.2875 +train,552690,240000.00,12/1/2014 0:00,4/1/2015 0:00,software developer,-1,m,3/4/1990 0:00,75,cbse,2008,67,cbse,7542,2,B.Tech/B.E.,computer science & engineering,68,7542,1,Delhi,2013,440,410,370,0.622642915849938,425,-1,407,-1,-1,-1,-1,-0.3027,-0.2871,-1.0659,1.794,-0.8608 +train,455244,375000.00,11/1/2012 0:00,9/1/2014 0:00,asp.net developer,Chennai,m,12/20/1989 0:00,67.5,seba(assam),2008,71.8,cbse,272,2,B.Tech/B.E.,computer engineering,73.18,272,0,Punjab,2012,475,585,475,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.9737,0.3448,0.2366,-0.5253,-1.0774 +train,538312,350000.00,9/1/2013 0:00,2/1/2015 0:00,assistant manager,Mumbai,f,2/15/1991 0:00,85,ssc,2009,83,hsc,6196,2,B.Tech/B.E.,electronics engineering,58.87,6196,0,Maharashtra,2013,605,570,430,0.229481754911755,405,266,-1,-1,-1,-1,-1,0.3555,0.9688,0.8171,-1.5828,0.0284 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0:00,software development engineer,Bangalore,m,3/25/1991 0:00,81.25,state board,2009,75.85,state board,577,2,B.Tech/B.E.,computer science & engineering,81,577,1,West Bengal,2013,545,530,630,0.622642915849938,755,-1,407,-1,-1,-1,-1,0.5591,0.5454,0.4711,-0.6147,1.247 +train,942576,150000.00,2/1/2014 0:00,present,executive assistant,Salem,f,11/24/1990 0:00,77,state board,2008,79,state board,8541,2,B.Tech/B.E.,electronics and communication engineering,86,8541,0,Tamil Nadu,2012,405,390,295,0.112139438207403,-1,228,-1,-1,-1,286,-1,-0.0154,0.2124,0.3174,-1.5021,1.247 +train,1037564,110000.00,1/1/2014 0:00,10/1/2014 0:00,training specialist,-1,m,7/20/1991 0:00,87.62,state board,2009,86,state board,6953,2,B.Tech/B.E.,electronics & instrumentation eng,71.7,6953,0,West Bengal,2013,440,480,465,-1,-1,-1,-1,-1,-1,-1,-1,0.8463,0.0459,0.4711,-0.1076,0.2889 +train,633241,350000.00,3/1/2014 0:00,4/1/2015 0:00,etl developer,Chennai,m,10/6/1993 0:00,68.6,cbse,2009,70,cbse,11630,2,B.Tech/B.E.,electronics and communication engineering,71.3,11630,0,Uttar Pradesh,2013,520,535,620,0.376059586651545,-1,300,-1,-1,-1,-1,-1,-0.0154,1.0449,0.6248,-1.8824,0.8637 +train,644584,185000.00,10/1/2012 0:00,7/1/2013 0:00,executive engg,New Delhi,m,1/3/1988 0:00,54,icse,2006,61,state board,12557,2,B.Tech/B.E.,information technology,71.23,12557,0,Uttar Pradesh,2012,640,485,485,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.3027,0.3789,0.6248,1.1601,-0.0943 +train,339210,200000.00,3/1/2012 0:00,2/1/2014 0:00,software engineer,Noida,m,6/22/1989 0:00,70.2,cbse,2007,66.2,cbse,6408,2,B.Tech/B.E.,computer engineering,65.98,6408,0,Uttar Pradesh,2011,545,445,485,0.930370607202691,565,-1,-1,-1,-1,-1,-1,-0.0696,0.0328,-1.6502,-1.05407,-0.2875 +train,982693,240000.00,7/1/2014 0:00,4/1/2015 0:00,software test engineer,Noida,m,11/6/1992 0:00,70,cbse,2010,65,cbse,387,2,B.Tech/B.E.,computer science & engineering,71,387,0,Uttar 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science & engineering,77.6,3944,1,Tamil Nadu,2013,605,475,325,0.413838255788123,385,-1,-1,-1,-1,-1,-1,0.1282,-0.6201,0.1637,-0.3612,0.0973 +train,730050,220000.00,10/1/2013 0:00,present,sales engineer,Kolkata,m,9/26/1991 0:00,83,state board,2009,72,state board,11153,2,B.Tech/B.E.,applied electronics and instrumentation,75,11153,1,West Bengal,2013,380,595,680,0.124502074009537,-1,233,-1,-1,-1,-1,-1,0.7027,0.2124,0.9322,0.9066,-0.2859 +train,1135588,120000.00,4/1/2014 0:00,present,customer service representative,Hyderabad,m,6/29/1991 0:00,87.2,state board,2009,85.9,state board,8353,2,B.Tech/B.E.,electronics and communication engineering,63.75,8353,0,Telangana,2013,525,510,430,-1,465,-1,438,-1,-1,-1,-1,0.1282,-0.1206,0.1637,0.5262,-0.0943 +train,1111630,120000.00,8/1/2014 0:00,present,software engineer,New Delhi,m,4/27/1993 0:00,82.28,icse,2010,87.2,cbse,8840,2,B.Tech/B.E.,computer and communication engineering,77.26,8840,0,Uttar 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0:00,75,cbse,2008,58,cbse,378,2,B.Tech/B.E.,computer engineering,62.17,378,0,Haryana,2012,425,485,295,0.342314899911815,365,-1,-1,-1,-1,-1,-1,1.2828,0.9688,0.4906,0.4148,0.3444 +train,640581,360000.00,11/1/2013 0:00,4/1/2015 0:00,application developer,-1,f,9/25/1991 0:00,77.8,cbse,2009,79.4,cbse,1622,2,B.Tech/B.E.,computer engineering,80,1622,0,Madhya Pradesh,2013,520,655,825,0.765673581234011,485,-1,-1,-1,-1,-1,-1,0.2718,1.0449,0.01,-0.8682,0.2889 +train,823407,400000.00,6/1/2014 0:00,present,business system analyst,Pune,m,9/30/1991 0:00,93,cbse,2010,85.6,cbse,272,2,B.Tech/B.E.,electronics and communication engineering,89,272,0,Punjab,2014,605,545,680,0.493596387301038,435,324,-1,-1,-1,-1,-1,-0.4463,1.7109,-0.4511,-0.4879,1.6302 +train,1268344,240000.00,8/1/2014 0:00,4/1/2015 0:00,process engineer,Mumbai,m,3/10/1990 0:00,78,icse,2009,75,cbse,7765,2,B.Tech/B.E.,mechanical engineering,73,7765,0,Uttar Pradesh,2014,630,555,570,0.0669607065028304,-1,-1,-1,253,-1,-1,-1,1.7081,-0.1206,0.01,-1.7556,0.2889 +train,640533,400000.00,9/1/2013 0:00,present,application developer,Indore,m,8/29/1992 0:00,88.4,cbse,2009,91,cbse,1622,2,B.Tech/B.E.,computer engineering,70.35,1622,0,Madhya Pradesh,2013,590,595,680,0.843123726665742,515,-1,-1,-1,-1,-1,-1,0.4155,1.2114,0.3174,-0.7415,0.6721 +train,133165,240000.00,11/1/2010 0:00,8/1/2013 0:00,project engineer,Mumbai ,m,10/12/1988 0:00,71.6,ssc,2006,71,hsc,1358,2,B.Tech/B.E.,electronics and electrical engineering,60.38,1358,1,Maharashtra,2010,465,395,595,0.824666400671332,415,400,-1,-1,-1,-1,-1,-2.1175,-1.3713,-2.6662,1.4724,0.0284 +train,103861,505000.00,11/1/2010 0:00,present,quality associate,Chennai,m,7/21/1988 0:00,75.1,anglo indian,2006,81.2,state board,519,2,B.Tech/B.E.,electronics and communication engineering,71,519,1,Tamil Nadu,2010,505,305,495,0.376059586651545,445,300,-1,-1,-1,-1,-1,1.7465,0.3448,-0.344,-0.0552,0.8183 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0:00,61.63,0,2009,53.17,0,7236,2,B.Tech/B.E.,computer engineering,60,7236,1,Maharashtra,2012,485,415,215,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.7264,0.1888,-0.7794,-0.7603,0.3049 +train,295545,180000.00,8/1/2011 0:00,3/1/2013 0:00,software engineer,Nagpur,m,11/17/1987 0:00,73.73,"msbshse,pune",2005,72.5,"msbshse,pune",127,2,MCA,computer application,65,127,0,Maharashtra,2011,535,645,435,0.930370607202691,565,-1,-1,-1,-1,-1,-1,-2.1175,-0.4353,-0.9245,-1.2303,-1.0774 +train,332694,250000.00,9/1/2014 0:00,4/1/2015 0:00,system engineer,New Delhi,m,2/28/1992 0:00,59,state board,2009,72,state board,7600,2,B.Tech/B.E.,computer science & engineering,72,7600,0,Uttar Pradesh,2013,475,375,315,0.165633091512476,305,-1,-1,-1,-1,-1,-1,-2.272,0.3448,-1.2148,1.23732999999999,-2.0648 +train,337194,495000.00,7/1/2012 0:00,present,application engineer,Coimbatore,m,3/31/1991 0:00,94.4,tamilnadu state board,2008,94.16,tamilnadu state board,3076,2,B.Tech/B.E.,mechanical engineering,87.2,3076,0,Tamil 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0:00,84.6,cbse,2010,70.4,cbse,14004,2,B.Tech/B.E.,civil engineering,75,14004,0,Himachal Pradesh,2014,580,625,545,0.536782666535172,-1,-1,-1,-1,-1,-1,356,1.5644,1.7109,0.7785,-0.8682,1.247 +train,815109,200000.00,10/1/2013 0:00,9/1/2014 0:00,technical support specialist,-1,m,9/14/1989 0:00,56.16,state board,2006,54.08,state board,11942,2,B.Tech/B.E.,electronics and communication engineering,61.28,11942,0,Uttar Pradesh,2012,465,495,355,0.649389714846691,355,356,-1,-1,-1,-1,356,0.7027,0.3789,0.4711,0.7798,-0.2859 +train,604409,500000.00,6/1/2013 0:00,present,business analyst,Gurgaon,m,10/7/1990 0:00,87,cbse,2009,82,cbse,6920,1,B.Tech/B.E.,electronics and communication engineering,74,6920,1,Delhi,2013,545,605,765,0.985461394326131,495,500,-1,-1,-1,366,-1,0.4155,-0.2871,-0.7585,-1.8824,-0.6692 +train,471545,720000.00,8/1/2013 0:00,present,ux designer,Jabalpur,m,2/29/1992 0:00,82,cbse,2009,69,cbse,57,2,B.Tech/B.E.,information 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trainee,pune,f,1/4/1992 0:00,78,cbse,2010,73,cbse,2812,2,B.Tech/B.E.,information technology,75.9,2812,0,Rajasthan,2014,490,445,320,0.744758354008939,395,-1,438,-1,-1,-1,-1,-0.4463,1.0449,-0.4511,-0.1076,0.0973 +train,358095,470000.00,1/1/2013 0:00,4/1/2015 0:00,system engineer,Kolkata ,m,10/9/1991 0:00,70.4,cbse,2008,69.2,cbse,167,2,B.Tech/B.E.,information technology,70,167,0,Haryana,2012,565,635,715,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-1.4992,-0.5913,-1.0697,-0.5253,-1.2354 +train,965196,305000.00,5/1/2014 0:00,present,associate software engineer,Bhubaneswar,f,5/31/1993 0:00,90,state board,2010,74,state board,12387,2,B.Tech/B.E.,electronics and communication engineering,75,12387,0,Andhra Pradesh,2014,520,545,450,0.649389714846691,455,356,-1,-1,-1,-1,-1,0.4155,1.0449,-0.1437,-1.2486,-0.4776 +train,1010732,100000.00,4/1/2015 0:00,present,technical engineer,Pune,m,12/30/1991 0:00,68,cbse,2010,68,cbse,11144,2,B.Tech/B.E.,electronics and communication engineering,80,11144,0,Madhya Pradesh,2014,440,385,415,0.207392169717661,-1,260,-1,-1,-1,356,-1,1.1336,0.2124,1.0859,1.5404,1.247 +train,812176,145000.00,6/1/2014 0:00,4/1/2015 0:00,android developer,Pune,m,11/27/1992 0:00,87.07,state board,2010,71.5,state board,11664,2,B.Tech/B.E.,information technology,76,11664,0,Maharashtra,2014,440,365,235,0.622642915849938,365,-1,407,-1,-1,-1,-1,1.2772,-0.9531,0.3174,-1.6289,0.6721 +train,218587,350000.00,12/1/2011 0:00,present,software engineer,Bangalore,f,5/17/1989 0:00,92,kerala university,2007,87,kerala university,6431,2,B.Tech/B.E.,computer engineering,70,6431,0,Kerala,2011,575,485,535,0.635978756456794,445,-1,-1,-1,-1,-1,-1,0.6646,0.5008,-0.6343,-1.2303,0.6603 +train,421635,120000.00,1/1/2013 0:00,6/1/2014 0:00,qa analyst,Jaspur,m,7/25/1991 0:00,67.1,uttaranchal shiksha avam pariksha parishad,2008,70.4,uttaranchal shiksha avam pariksha parishad,79,2,B.Tech/B.E.,electronics and communication engineering,62,79,0,Uttar Pradesh,2012,465,425,575,0.229481754911755,305,266,-1,-1,-1,-1,-1,1.59199999999999,0.5008,0.3817,-1.1128,0.1864 +train,613031,350000.00,1/1/2014 0:00,4/1/2015 0:00,software engineer,Navi Mumbai,m,7/21/1992 0:00,89.6,state board,2009,95.2,state board,1764,2,B.Tech/B.E.,computer science & engineering,79.37,1764,0,Andhra Pradesh,2013,405,510,650,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.5591,-0.2871,-1.527,-0.6147,-2.0105 +train,1064862,175000.00,5/1/2014 0:00,present,get,Hyderabad,m,2/4/1991 0:00,87,state board,2009,79.9,state board,6345,2,B.Tech/B.E.,mechanical engineering,66.67,6345,0,Andhra Pradesh,2013,350,445,295,0.328746378624932,-1,-1,-1,346,-1,-1,-1,1.5644,-1.1196,0.4711,1.1601,0.4805 +train,1152870,100000.00,1/1/2015 0:00,present,business development manager,mohali,m,11/22/1991 0:00,82,cbse,2010,59,cbse,2563,2,B.Tech/B.E.,electronics and communication engineering,63,2563,0,Uttarakhand,2015,500,590,380,0.649389714846691,-1,356,-1,-1,-1,292,-1,-0.8772,0.2124,0.6248,-0.7415,-0.0943 +train,796151,820000.00,7/1/2014 0:00,present,software engineer,Bangalore,m,12/8/1988 0:00,71,state board,2006,60,state board,222,2,MCA,computer application,88.9,222,0,Jharkhand,2014,520,510,780,0.486747008438193,535,-1,376,-1,-1,-1,-1,1.2772,0.0459,1.2396,-0.6147,-0.2859 +train,82269,600000.00,11/1/2010 0:00,present,senior .net developer,Pune,m,6/9/1987 0:00,87.73,bse(board of secondary education),2004,76,chse(concil of higher secondary education),124,2,B.Tech/B.E.,computer engineering,84.5,124,0,Orissa,2010,525,525,635,0.942116551485008,575,-1,-1,-1,-1,-1,-1,-2.272,1.2808,-1.2148,-0.1727,0.8183 +train,458082,70000.00,4/1/2013 0:00,1/1/2014 0:00,software engineer,Lucknow,f,7/28/1991 0:00,80.83,"bright way college, (up board)",2007,81.6,"bright way college, (up board)",1638,2,B.Tech/B.E.,information technology,71.88,1638,0,Uttar Pradesh,2012,375,435,485,0.525922584252055,415,400,-1,-1,-1,-1,-1,-0.2628,0.1498,-0.8157,0.8848,-1.2354 +train,1247341,360000.00,6/1/2014 0:00,present,sap analyst,Bangalore,m,8/3/1991 0:00,90.4,cbse,2009,83.6,cbse,1570,2,B.Tech/B.E.,electrical engineering,76.4,1570,0,Assam,2013,675,570,645,0.984661887783942,635,-1,-1,-1,612,-1,-1,0.2718,0.2124,0.4711,-1.5021,-0.0943 +train,1004939,200000.00,7/1/2014 0:00,3/1/2015 0:00,process associate,Gurgaon ,m,1/28/1991 0:00,79,icse,2009,71.3,icse,547,2,B.Tech/B.E.,electronics and electrical engineering,69.4,547,0,Madhya Pradesh,2014,560,505,440,0.423951396376433,-1,-1,-1,-1,388,-1,-1,1.4208,1.0449,0.4711,-2.0092,0.4805 +train,1095943,100000.00,10/1/2014 0:00,4/1/2015 0:00,lecturer,Burdwan,m,7/2/1989 0:00,77.12,state board,2006,56.9,state board,6884,2,M.Tech./M.E.,computer science & engineering,72.5,6884,0,West Bengal,2014,385,590,475,0.911395278391328,-1,-1,500,-1,-1,-1,-1,0.8463,-0.4536,-0.1437,-1.1218,-1.244 +train,580712,400000.00,10/1/2013 0:00,present,software engineer,Pune,m,5/12/1991 0:00,83,cbse,2008,78.8,cbse,8195,1,B.Tech/B.E.,computer engineering,75,8195,1,Delhi,2013,520,585,485,0.819416529835888,505,-1,-1,-1,-1,-1,-1,-1.7389,-0.6201,0.3174,-0.2344,-0.2859 +train,1044954,170000.00,6/1/2014 0:00,5/1/2015 0:00,it support specialist,Hyderabad,m,5/19/1991 0:00,63,state board,2008,60,state board,8896,2,B.Tech/B.E.,computer science & engineering,64,8896,1,Telangana,2012,370,280,250,0.356536487724475,315,-1,346,-1,-1,-1,-1,0.99,-0.1206,-0.1437,-1.7556,-1.244 +train,1232793,300000.00,5/1/2014 0:00,3/1/2015 0:00,software developer,New Delhi,m,4/20/1988 0:00,74,icse,2008,63,state board,11943,2,B.Tech/B.E.,computer science & engineering,63.2,11943,0,Uttar Pradesh,2012,560,445,485,0.953899775079926,495,-1,530,-1,-1,-1,-1,-0.3027,-0.4536,-1.3733,-0.3612,-0.2859 +train,1117138,335000.00,3/1/2014 0:00,present,software engineere,Pune,m,5/15/1991 0:00,86.15,state board,2009,83,state board,358,2,B.Tech/B.E.,computer engineering,60.2,358,1,Maharashtra,2013,560,505,585,0.842248322257836,615,-1,469,-1,-1,-1,-1,-0.5899,1.0449,-1.3733,-0.995,-0.4776 +train,633797,365000.00,3/1/2014 0:00,4/1/2015 0:00,system engineer,Bangalore,f,9/20/1991 0:00,89,cbse,2009,88.8,cbse,1982,2,B.Tech/B.E.,computer engineering,79.22,1982,0,Uttar Pradesh,2013,475,610,695,0.916869961103619,555,-1,-1,-1,-1,-1,-1,0.4155,1.2114,0.01,-1.1218,0.2889 +train,1279987,435000.00,8/1/2012 0:00,4/1/2015 0:00,senior systems engineer,Mysore,m,10/26/1988 0:00,69,state board,2006,60.66,state board,11157,1,MCA,computer application,76.2,11157,0,Jharkhand,2012,615,545,605,0.793580614548506,495,-1,-1,-1,-1,-1,-1,0.4155,0.8784,0.9322,0.7798,0.8637 +train,632267,80000.00,5/1/2014 0:00,2/1/2015 0:00,software developer,Bhubaneswar ,f,1/2/1992 0:00,75,cbse,2009,73,cbse,9786,2,B.Tech/B.E.,electronics and electrical engineering,65,9786,0,Orissa,2013,360,415,255,-1,-1,-1,-1,-1,-1,-1,-1,1.2772,-0.1206,-1.3733,-0.4879,0.8637 +train,308813,310000.00,10/1/2012 0:00,present,system engineer,Greater Noida,m,6/18/1990 0:00,81,cbse,2008,79,cbse,5904,2,B.Tech/B.E.,computer engineering,70,5904,0,Uttar Pradesh,2012,544,385,505,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-2.4266,0.5008,-0.1408,-0.7496,0.3444 +train,872404,180000.00,8/1/2014 0:00,present,information security analyst,New Delhi,m,10/6/1991 0:00,73.6,state board,2009,66.6,state board,347,2,B.Tech/B.E.,information technology,76,347,0,Uttar Pradesh,2014,395,465,500,0.486747008438193,445,-1,376,-1,-1,-1,-1,0.2718,1.3779,1.2396,0.1459,0.2889 +train,635283,180000.00,10/1/2013 0:00,present,software engineer,Pune,m,3/24/1990 0:00,64.53,state board,2007,75,state board,4053,2,MCA,computer application,74.33,4053,0,Maharashtra,2013,435,515,325,0.842248322257836,485,-1,469,-1,-1,-1,-1,1.4208,1.2114,-0.6048,-1.5021,1.247 +train,643174,300000.00,1/1/2015 0:00,present,software engineer,Bangalore,m,11/5/1991 0:00,73,cbse,2009,65,cbse,165,2,B.Tech/B.E.,computer engineering,76,165,1,Rajasthan,2014,450,460,355,0.144789889482462,415,-1,284,-1,-1,-1,-1,0.4155,0.8784,0.9322,0.653,1.0554 +train,732785,300000.00,1/1/2014 0:00,present,software engineer associate,Bangalore,f,1/12/1991 0:00,85.6,cbse,2008,65.8,cbse,11166,2,B.Tech/B.E.,computer science & engineering,76.4,11166,0,West Bengal,2013,605,450,605,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.7335,0.5454,-0.7585,1.0333,0.6721 +train,938182,180000.00,1/1/2015 0:00,present,php developer,New Delhi,m,9/19/1992 0:00,80,cbse,2010,66.66,cbse,10859,2,B.Tech/B.E.,computer science & engineering,64.06,10859,0,Uttarakhand,2014,535,425,320,0.356536487724475,515,-1,346,-1,-1,-1,-1,-0.3027,0.2124,-1.527,-0.3612,0.2889 +train,385512,145000.00,7/1/2012 0:00,9/1/2012 0:00,electrical engineer,Shimla,m,3/20/1990 0:00,80,icse,2008,72,cbse,100,2,B.Tech/B.E.,electronics and communication engineering,62,100,0,Haryana,2012,585,525,575,0.376059586651545,295,300,-1,-1,-1,313,-1,-1.3447,-1.3713,0.0552,-0.0552,-0.2875 +train,896880,450000.00,8/1/2014 0:00,4/1/2015 0:00,programmer analyst,Bangalore,f,10/8/1992 0:00,89,cbse,2010,82,cbse,8351,1,B.Tech/B.E.,information & communication technology,72,8351,0,Karnataka,2014,660,620,765,0.842248322257836,565,-1,469,-1,-1,-1,-1,0.7027,1.2114,0.3174,-1.5021,-0.0943 +train,880800,315000.00,8/1/2015 0:00,present,software engineer,Pune,m,1/15/1994 0:00,86.46,state board,2011,85.57,state board,474,2,B.Tech/B.E.,computer science & engineering,62.88,474,1,Maharashtra,2015,500,620,720,0.842248322257836,645,-1,469,-1,-1,-1,-1,-0.8772,0.7119,-1.527,-2.136,1.247 +train,1298275,80000.00,11/1/2014 0:00,present,web developer,ahmedabad,m,5/26/1992 0:00,82.62,state board,2010,76.2,state board,1018,2,B.Tech/B.E.,information technology,64.8,1018,0,Gujarat,2014,605,510,515,0.991230625262871,495,-1,592,-1,-1,-1,-1,0.8463,0.3789,0.9322,-0.7415,0.8637 +train,864014,310000.00,8/1/2013 0:00,2/1/2015 0:00,java developer,Bangalore,m,6/2/1990 0:00,71.5,"school secondary education, andhra pradesh",2007,80.5,"board of intermediate education, andhra pradesh",2929,2,MCA,computer application,78,2929,0,Andhra Pradesh,2013,405,575,635,0.622642915849938,665,-1,407,-1,-1,-1,-1,1.1336,1.3779,1.547,-1.3753,0.8637 +train,1258764,90000.00,1/1/2015 0:00,3/1/2015 0:00,business development manager,Bangalore,f,10/22/1991 0:00,88,state board,2009,69.83,state board,3547,2,B.Tech/B.E.,electronics and communication engineering,67.57,3547,0,Karnataka,2013,560,445,405,-1,-1,-1,376,-1,-1,-1,-1,-0.3027,-0.4536,-1.6807,-0.7415,-1.6273 +train,245678,575000.00,10/1/2013 0:00,4/1/2014 0:00,design engineer,Noida,m,8/16/1991 0:00,85.4,cbse,2008,76,cbse,268,2,B.Tech/B.E.,electronics and communication engineering,73,268,0,Haryana,2012,375,485,475,0.538386892985096,325,333,-1,-1,-1,473,-1,0.2009,0.5008,-0.0537,1.2374,0.6603 +train,947022,400000.00,7/1/2014 0:00,present,sales engineer,Bangalore,m,12/30/1992 0:00,89,cbse,2010,83.5,state board,979,2,B.Tech/B.E.,mechanical engineering,74.5,979,1,Karnataka,2014,755,485,555,0.59828069148683,-1,-1,-1,407,-1,-1,-1,-0.4463,-0.2871,0.6248,-1.5021,-1.4356 +train,553781,310000.00,12/1/2013 0:00,present,software engineer,Gurgaon,m,6/23/1988 0:00,70.6,icse,2007,79.6,icse,48,1,B.Tech/B.E.,computer science & engineering,75.3,48,1,Delhi,2013,440,415,575,0.525922584252055,415,-1,-1,-1,-1,-1,-1,1.4208,1.2114,1.0859,-0.3612,1.6302 +train,57430,180000.00,10/1/2011 0:00,4/1/2013 0:00,software engineer,hyderabad,m,10/20/1986 0:00,68,0,2003,62.8,0,3579,2,B.Tech/B.E.,computer engineering,70.1,3579,0,Uttar Pradesh,2010,435,425,494,0.377551419424541,375,-1,-1,-1,-1,-1,-1,1.4374,-0.5913,1.1074,-0.0552,0.8183 +train,263725,500000.00,12/1/2011 0:00,4/1/2015 0:00,senior systems engineer,Bangalore,f,11/17/1989 0:00,80,0,2007,73,0,2513,2,B.Tech/B.E.,information technology,76.1,2513,0,Rajasthan,2011,495,555,575,0.793580614548506,495,-1,-1,-1,-1,-1,-1,1.4374,0.9688,1.1074,-1.1128,0.5024 +train,1044900,450000.00,6/1/2014 0:00,present,quality engineer,-1,m,9/19/1992 0:00,84,cbse,2010,78.8,cbse,648,1,B.Tech/B.E.,computer science & engineering,67.27,648,0,Kerala,2014,700,640,510,0.996744486852253,675,-1,623,-1,-1,-1,-1,0.8463,0.5454,1.2396,-0.7415,1.0554 +train,682813,120000.00,12/1/2013 0:00,4/1/2015 0:00,associate software developer,Bhubaneswar,m,6/20/1990 0:00,82,state board,2008,57,state board,13429,2,B.Tech/B.E.,electronics and electrical engineering,70,13429,0,Orissa,2013,415,640,470,0.758379883023504,-1,200,-1,-1,473,-1,-1,0.8463,0.2124,0.01,-0.995,1.6302 +train,329900,360000.00,9/1/2012 0:00,4/1/2015 0:00,java software engineer,Hyderabad,f,7/22/1990 0:00,77.2,ssc,2008,80.3,board of intermidiate,11183,2,B.Tech/B.E.,information technology,63.54,11183,1,Telangana,2012,405,395,365,0.143256541032196,295,-1,-1,-1,-1,-1,-1,-0.880999999999999,-0.2793,-0.1988,-0.0552,-0.5245 +train,11244,565000.00,4/1/2011 0:00,4/1/2014 0:00,software test engineer,Bangalore,m,9/25/1988 0:00,75,cbse,2005,68,cbse,255,2,B.Tech/B.E.,information technology,71.6,255,0,Uttar Pradesh,2010,665,435,535,0.488347976782714,405,366,-1,-1,-1,-1,-1,0.6646,1.1248,0.3817,-0.8778,0.3444 +train,1146950,325000.00,10/1/2014 0:00,present,systems engineer,Bangalore,m,12/26/1991 0:00,70,cbse,2009,84,cbse,2429,2,B.Tech/B.E.,computer science & engineering,71,2429,0,Uttar Pradesh,2014,675,480,570,0.23780283983757,495,-1,315,-1,-1,-1,-1,0.99,0.7119,0.4711,-0.8682,1.0554 +train,371808,60000.00,3/1/2013 0:00,4/1/2014 0:00,software test engineer,Nagpur,m,10/20/1989 0:00,53.06,secondary state certificate,2007,60.33,higher secondary state certificate,11629,2,B.Tech/B.E.,electronics and communication engineering,71.3,11629,0,Maharashtra,2012,475,505,475,0.229481754911755,305,266,-1,-1,286,366,-1,-1.5765,-2.1513,-1.3599,0.0035,-0.4455 +train,601071,300000.00,6/1/2013 0:00,5/1/2015 0:00,production engineer,Gajiabaad,m,8/30/1991 0:00,65,cbse,2009,53,cbse,272,2,B.Tech/B.E.,mechanical and automation,69,272,0,Punjab,2013,285,425,605,0.414337426422751,175,-1,-1,366,-1,-1,-1,-2.0262,-3.6171,-1.0659,-0.4879,-2.7769 +train,795959,325000.00,6/1/2014 0:00,present,systems engineer,-1,m,9/15/1991 0:00,93.4,cbse,2009,89.4,cbse,222,2,B.Tech/B.E.,electronics and electrical engineering,75.4,222,0,Jharkhand,2014,605,645,720,0.557389505646088,555,-1,-1,-1,420,-1,-1,-1.5953,0.5454,-0.4511,0.3995,-0.0943 +train,306079,120000.00,12/1/2011 0:00,12/1/2012 0:00,production engineer,Pune,m,10/18/1989 0:00,75.86,0,2008,70.08,0,3560,2,B.Tech/B.E.,mechanical engineering,56.8,3560,1,Maharashtra,2011,325,365,385,0.130441735719574,-1,-1,-1,286,-1,-1,-1,-0.5719,0.3448,-1.6502,-0.5253,-1.2354 +train,1119013,200000.00,5/1/2014 0:00,present,senior quality engineer,Gurgaon,f,9/29/1990 0:00,78,state board,2008,71,state board,7035,2,MCA,computer application,85,7035,0,Orissa,2014,455,470,440,0.622642915849938,455,-1,407,-1,-1,-1,-1,-1.7389,-3.6171,-1.9408,-0.3612,-5.686 +train,628067,400000.00,12/1/2012 0:00,present,network engineer,Bangalore,f,5/6/1991 0:00,91.84,state board,2008,86.5,state board,1266,2,B.Tech/B.E.,computer engineering,78.3,1266,1,Karnataka,2012,625,620,560,0.930370607202691,565,-1,-1,-1,-1,-1,-1,-0.159,-1.2861,-2.2954,0.5262,-1.0524 +train,841631,350000.00,4/1/2014 0:00,present,software test engineer,Pune,m,4/23/1993 0:00,79,state board,2009,76,state board,4805,2,B.Tech/B.E.,information technology,68,4805,1,Rajasthan,2013,415,500,415,0.622642915849938,405,-1,407,-1,-1,-1,-1,0.5591,0.0459,-0.2974,0.2727,-1.0524 +train,1020633,610000.00,12/1/2014 0:00,present,software test engineer,New Delhi,m,6/6/1992 0:00,78.2,cbse,2010,82,cbse,250,1,B.Tech/B.E.,electronics and communication engineering,67,250,0,Haryana,2014,720,530,500,0.649389714846691,475,356,-1,-1,-1,-1,-1,-1.7389,-1.2861,-1.6807,1.2869,-1.6273 +train,1063143,325000.00,12/1/2014 0:00,5/1/2015 0:00,test engineer,Mysore,m,6/1/1993 0:00,82.5,state board,2010,93.5,state board,3931,2,B.Tech/B.E.,electronics and communication engineering,72.76,3931,0,Andhra Pradesh,2014,525,595,595,0.943272157866555,495,452,-1,-1,-1,-1,-1,0.7027,0.2124,0.3174,-0.6147,0.2889 +train,1297773,325000.00,11/1/2014 0:00,present,software engineer,Bangalore,m,3/14/1990 0:00,76.4,state board,2007,68.8,state board,6982,2,B.Tech/B.E.,electronics and communication engineering,80.2,6982,1,Karnataka,2014,665,615,605,-1,515,-1,-1,-1,-1,-1,-1,0.1282,-0.4536,-1.0659,-0.995,0.2889 +train,1218863,150000.00,8/1/2014 0:00,present,financial service consultant,Jammu,f,8/24/1992 0:00,64.8,cbse,2010,75.2,state board,14016,2,B.Tech/B.E.,electronics and communication engineering,67.2,14016,0,Punjab,2014,430,455,320,0.112139438207403,-1,228,-1,-1,-1,356,-1,0.7027,0.5454,0.9322,0.7798,0.4805 +train,615835,220000.00,9/1/2014 0:00,present,network engineer,Chennai,m,9/6/1992 0:00,74,state board,2009,62,state board,272,2,B.Tech/B.E.,computer engineering,60,272,0,Punjab,2014,520,585,500,-1,-1,-1,-1,-1,-1,-1,-1,-0.4463,-1.7856,1.547,0.2727,-0.0943 +train,919419,200000.00,4/1/2014 0:00,present,engineer,Gurgaon,m,9/27/1992 0:00,72,cbse,2010,73,cbse,7376,2,B.Tech/B.E.,computer science & engineering,69,7376,0,Uttar Pradesh,2014,535,520,400,0.486747008438193,355,-1,376,-1,-1,-1,-1,-0.159,-0.6201,-1.527,-0.4879,-1.8189 +train,1256068,240000.00,3/1/2015 0:00,present,production engineer,Greater Noida,m,1/17/1994 0:00,81.33,cbse,2011,77.2,cbse,7376,2,B.Tech/B.E.,mechanical engineering,68.21,7376,0,Uttar Pradesh,2015,490,565,630,0.59828069148683,-1,-1,-1,407,-1,-1,-1,-2.3134,-0.2871,-0.2974,0.653,-0.8608 +train,244435,325000.00,1/1/2013 0:00,4/1/2015 0:00,software engineer,Pune,f,7/19/1989 0:00,83,bse,2006,65,chse,3427,2,B.Tech/B.E.,electronics and communication engineering,73.1,3427,0,Orissa,2011,375,415,515,0.52173598170304,305,-1,-1,-1,-1,340,-1,0.0464,0.8128,-0.6343,0.5323,-0.1295 +train,991139,320000.00,10/1/2014 0:00,present,software engineer,bangalore,m,10/23/1992 0:00,75,state board,2010,71.6,state board,16092,2,B.Tech/B.E.,computer science & engineering,68.75,16092,0,Andhra Pradesh,2014,290,485,310,0.744758354008939,435,-1,438,-1,-1,-1,-1,1.4208,0.2124,0.9322,-1.5021,1.247 +train,1084305,355000.00,12/1/2013 0:00,5/1/2015 0:00,desktop support technician,Bangalore,m,1/9/1991 0:00,62,cbse,2009,63,state board,1266,2,B.Tech/B.E.,information science engineering,61,1266,1,Karnataka,2013,455,340,440,0.0800552813405495,405,-1,253,-1,-1,-1,-1,-0.159,-0.4536,0.01,0.3995,-1.0524 +train,355170,300000.00,1/1/2013 0:00,4/1/2015 0:00,system engineer,Chennai,f,10/26/1990 0:00,74.62,matriculation,2008,70,matriculation,1019,2,B.Tech/B.E.,computer engineering,75,1019,1,Tamil Nadu,2012,515,435,375,0.377551419424541,375,-1,-1,-1,-1,-1,-1,0.8578,0.9688,1.1074,-0.349,0.8183 +train,351836,180000.00,11/1/2012 0:00,present,technical assistant,Jaipur,f,7/30/1991 0:00,87,rbse,2008,67.23,rbse,2927,2,B.Tech/B.E.,computer engineering,75.08,2927,1,Rajasthan,2012,295,305,375,0.0139623037868848,-1,-1,-1,-1,-1,-1,-1,0.2782,0.6568,0.2366,2.2949,-0.7615 +train,879261,95000.00,10/1/2013 0:00,4/1/2014 0:00,co faculty,-1,m,3/24/1987 0:00,76.66,state board,2004,64.33,state board,3496,2,B.Tech/B.E.,mechanical engineering,72.02,3496,0,Maharashtra,2012,615,525,430,0.328746378624932,-1,-1,-1,346,-1,-1,-1,-0.5899,0.5454,0.3174,-0.7415,-0.8608 +train,731258,95000.00,12/1/2014 0:00,1/1/2015 0:00,php developer,-1,m,8/29/1990 0:00,81,state board,2008,71,state board,2921,2,B.Tech/B.E.,computer science & engineering,74,2921,0,West Bengal,2013,500,500,545,0.670743151433127,455,-1,-1,-1,-1,-1,-1,-0.3027,0.5454,1.3933,-1.3753,-0.0943 +train,601296,145000.00,8/1/2013 0:00,8/1/2014 0:00,.net developer,-1,m,6/23/1989 0:00,45.33,state board,2006,47.6,state board,272,2,MCA,computer application,58.25,272,0,Punjab,2013,405,545,220,0.242499915185631,334,-1,-1,-1,-1,-1,-1,-1.7389,-0.2871,-0.7026,0.5262,-1.1291 +train,520456,100000.00,1/1/2014 0:00,1/1/2015 0:00,production engineer,Pune,m,11/9/1991 0:00,69.69,state board,2009,68,state board,1871,2,B.Tech/B.E.,mechanical engineering,67.93,1871,0,Maharashtra,2013,430,535,430,0.535862819499896,-1,-1,-1,393,-1,-1,-1,-2.1561,-0.9033,-0.344,0.2679,-2.6572 +train,1088385,45000.00,2/1/2014 0:00,2/1/2015 0:00,graduate apprentice trainee,Trichy,m,11/14/1990 0:00,81.6,state board,2008,73.25,state board,13233,2,B.Tech/B.E.,electronics and electrical engineering,76.6,13233,0,Tamil Nadu,2012,490,630,475,0.79293627759454,-1,452,-1,-1,484,-1,-1,1.4208,0.5454,0.1637,1.1601,0.4805 +train,423053,400000.00,7/1/2012 0:00,present,software engineer,Noida,m,1/13/1991 0:00,69,icse,2008,66,isc,184,2,B.Tech/B.E.,electronics and communication engineering,64,184,0,Uttar Pradesh,2012,515,595,575,0.824666400671332,-1,400,-1,-1,-1,286,-1,-0.5719,-0.5913,-0.344,-1.3478,-0.5245 +train,277189,340000.00,11/1/2011 0:00,12/1/2014 0:00,software developer,Noida,m,2/14/1988 0:00,53,0,2004,61,0,66,2,MCA,computer application,64,66,0,Uttar Pradesh,2011,355,325,535,0.377551419424541,375,-1,-1,-1,-1,-1,-1,0.6646,-0.7473,1.1074,0.1798,0.3444 +train,325356,505000.00,1/1/2013 0:00,present,technical support engineer,Pune,m,3/2/1990 0:00,75.33,0,2008,74.67,0,7172,2,B.Tech/B.E.,computer engineering,72.04,7172,0,Maharashtra,2012,385,415,595,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-2.1175,0.8128,-1.2148,0.0622299999999999,-0.643 +train,637087,105000.00,7/1/2013 0:00,8/1/2014 0:00,java software engineer,Ghaziabad,m,12/12/1988 0:00,74.28,bseb,2007,63,cbse,4501,2,MCA,computer application,72.5,4501,0,Uttar Pradesh,2013,370,545,545,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.4155,-0.2871,-0.1437,0.0192,0.6721 +train,823790,300000.00,7/1/2014 0:00,present,programmer analyst,Pune,m,10/1/1992 0:00,90.2,cbse,2010,79.4,cbse,272,2,B.Tech/B.E.,electronics and communication engineering,63.2,272,0,Punjab,2014,545,435,470,-1,-1,-1,-1,-1,-1,-1,-1,-0.4463,0.3789,0.7785,0.0192,-0.6692 +train,111711,210000.00,1/1/2012 0:00,7/1/2012 0:00,management trainee,Shahdol,m,8/8/1987 0:00,74.6,cbse,2005,63.6,cbse,3144,2,B.Tech/B.E.,electronics and electrical engineering,69.92,3144,1,Tamil Nadu,2010,535,485,565,0.661834475840071,335,300,-1,-1,446,-1,-1,0.9737,0.3448,-1.0697,1.4724,-0.6035 +train,1015635,320000.00,3/1/2015 0:00,present,associate system engineer,Ahmedabad,m,5/2/1992 0:00,82.6,cbse,2010,86.6,cbse,17208,2,B.Tech/B.E.,instrumentation and control engineering,74.24,17208,1,Delhi,2014,475,485,355,0.493596387301038,485,324,-1,-1,-1,-1,-1,-0.5899,0.5454,-0.4511,1.2869,-0.6692 +train,335651,330000.00,9/1/2012 0:00,10/1/2014 0:00,senior software engineer,Pune ,f,5/19/1990 0:00,74.88,karnataka state board,2007,69.88,karanataka secondary board,1236,2,MCA,computer application,73,1236,0,Karnataka,2012,355,485,305,0.525922584252055,415,-1,-1,-1,-1,-1,-1,-2.1175,-0.1232,-0.0537,1.11982999999999,-0.643 +train,652414,180000.00,11/1/2013 0:00,8/1/2014 0:00,electrical engineer,New Delhi,m,10/1/1991 0:00,70.2,cbse,2009,73.2,cbse,1985,2,B.Tech/B.E.,electronics and electrical engineering,75,1985,1,Tamil Nadu,2013,395,355,235,0.557389505646088,295,-1,-1,-1,420,-1,-1,0.4155,-0.2871,1.3933,-0.2344,-0.0943 +train,473243,300000.00,9/1/2014 0:00,present,information security analyst,Pune,f,8/12/1992 0:00,81.6,cbse,2010,81,cbse,57,2,B.Tech/B.E.,computer science & engineering,75.85,57,0,Haryana,2014,425,505,505,0.622642915849938,495,-1,407,-1,-1,-1,-1,-0.5719,0.8518,0.4906,1.5899,0.1864 +train,810270,325000.00,10/1/2014 0:00,present,project engineer,Bangalore,m,2/6/1993 0:00,91,cbse,2010,87.8,cbse,64,2,B.Tech/B.E.,information technology,83.3,64,0,Uttar Pradesh,2014,450,495,720,0.793580614548506,495,-1,-1,-1,-1,-1,-1,1.4208,0.8784,1.547,0.2727,1.6302 +train,810588,100000.00,11/1/2014 0:00,present,android developer,Pune,f,6/5/1992 0:00,84,icse,2009,87.83,icse,10051,2,B.Tech/B.E.,information technology,74,10051,1,Delhi,2014,580,525,470,0.635978756456794,445,-1,-1,-1,-1,-1,-1,1.2772,0.8784,0.1637,-1.2486,-0.2859 +train,829913,245000.00,3/1/2015 0:00,present,software analyst,Bangalore,f,5/6/1992 0:00,83,state board,2010,87,state board,462,2,B.Tech/B.E.,computer science & engineering,73.94,462,1,Karnataka,2014,615,535,210,0.991230625262871,515,-1,592,-1,-1,-1,-1,1.4208,1.0449,0.01,-1.3753,0.6721 +train,993701,200000.00,9/1/2014 0:00,3/1/2015 0:00,programmer,Chennai,m,5/27/1992 0:00,77,state board,2009,75.5,state board,1111,2,B.Tech/B.E.,information technology,69.3,1111,0,Tamil Nadu,2013,370,390,285,0.486747008438193,315,-1,376,-1,-1,-1,-1,-0.5899,-1.9521,0.3174,1.1601,-2.3937 +train,228051,605000.00,5/1/2012 0:00,12/1/2014 0:00,software engineer,Bangalore,m,4/4/1988 0:00,58,icse,2006,69,isc,11855,2,B.Tech/B.E.,information technology,70,11855,0,Andhra Pradesh,2011,565,535,545,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-2.8903,0.6568,-0.1988,0.4148,-1.0774 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board,2320,2,MCA,computer application,73,2320,1,Karnataka,2013,310,375,295,-1,-1,-1,-1,-1,-1,-1,-1,0.8463,0.3789,0.6248,1.2869,0.4805 +train,1029968,205000.00,1/1/2015 0:00,5/1/2015 0:00,javascript developer,Chennai,m,3/30/1993 0:00,60.2,state board,2010,65,state board,9259,2,B.Tech/B.E.,information technology,75,9259,0,Tamil Nadu,2014,300,335,345,0.356536487724475,375,-1,346,-1,-1,-1,-1,-0.0154,1.2114,0.9322,0.0192,1.4386 +train,281866,170000.00,12/1/2011 0:00,12/1/2012 0:00,electrical engineer,New Delhi,m,6/25/1988 0:00,81.8,cbse,2006,71.8,cbse,4450,2,B.Tech/B.E.,electronics and electrical engineering,64.5,4450,0,Uttar Pradesh,2011,415,525,625,0.824666400671332,-1,400,-1,-1,-1,366,-1,-1.8083,-0.2793,-0.6343,0.0623,-0.1295 +train,1251016,180000.00,7/1/2014 0:00,4/1/2015 0:00,it analyst,Pune,m,3/11/1991 0:00,80.15,state board,2009,79.83,state board,13259,2,B.Tech/B.E.,computer engineering,55.09,13259,1,Maharashtra,2013,465,640,430,0.960903087163164,595,-1,-1,-1,-1,-1,-1,0.1282,-0.1206,-0.2974,0.9066,-1.0524 +train,60401,360000.00,12/1/2010 0:00,11/1/2014 0:00,automation engineer,New Delhi,m,10/31/1988 0:00,72,icse,2006,59.4,isc,501,2,B.Tech/B.E.,electronics & instrumentation eng,72,501,0,Uttar Pradesh,2010,495,505,505,0.124502074009537,-1,233,-1,-1,-1,-1,-1,-1.4992,-0.5913,0.2366,-0.1727,0.8183 +train,1248141,320000.00,10/1/2014 0:00,1/1/2015 0:00,asp.net developer,Chennai,m,11/4/1991 0:00,75.6,state board,2009,74.6,state board,5056,2,B.Tech/B.E.,electronics and communication engineering,77.72,5056,0,Chhattisgarh,2014,475,630,705,0.976292560913216,515,484,-1,-1,-1,324,-1,-0.0154,-0.1206,-1.0659,1.5404,-0.0943 +train,232481,2500000.00,4/1/2012 0:00,present,software test engineer,-1,m,9/21/1984 0:00,65,icse,2003,63,isc,81,2,B.Tech/B.E.,electronics and electrical engineering,63.3,81,0,Uttar Pradesh,2011,575,475,605,-1,315,-1,-1,-1,-1,-1,-1,0.6646,0.8128,0.3817,-0.1727,-1.0774 +train,41012,370000.00,7/1/2010 0:00,6/1/2012 0:00,system engineer,Mumbai,m,4/20/1986 0:00,81,icse,2005,77,mp,402,1,B.Tech/B.E.,electronics & telecommunications,77,402,0,Madhya Pradesh,2010,655,735,755,0.985461394326131,575,500,-1,-1,-1,-1,-1,-0.1082,0.5008,1.2525,-1.7004,0.5024 +train,1069526,200000.00,4/1/2014 0:00,present,programmer,Hyderabad,m,4/12/1991 0:00,90.6,state board,2009,79.3,state board,5752,2,B.Tech/B.E.,computer science & engineering,65.7,5752,1,Telangana,2013,430,350,475,0.622642915849938,515,-1,407,-1,-1,-1,-1,1.4208,1.2114,1.2396,-1.1218,1.247 +train,456296,300000.00,6/1/2013 0:00,present,quality analyst,New Delhi,m,9/25/1991 0:00,77,cbse,2008,67,cbse,272,2,B.Tech/B.E.,computer engineering,59,272,0,Punjab,2012,535,465,345,0.525922584252055,415,-1,-1,-1,-1,-1,-1,-1.5765,0.9688,-0.344,0.3561,-0.7615 +train,335390,440000.00,4/1/2013 0:00,4/1/2015 0:00,software engineer,Gurgaon,f,10/15/1989 0:00,74.4,0,2008,69.7,0,198,2,B.Tech/B.E.,electronics and communication engineering,70.8,198,0,Uttar Pradesh,2012,475,445,405,0.824666400671332,-1,400,-1,-1,-1,340,-1,0.51,0.1498,-0.8157,-0.407769999999999,0.5024 +train,1253323,65000.00,11/1/2014 0:00,4/1/2015 0:00,java developer,Muvattupuzha,m,3/4/1992 0:00,74,icse,2009,84,state board,8258,2,B.Tech/B.E.,electronics and communication engineering,64,8258,0,Kerala,2013,605,565,475,0.338786347219528,495,292,-1,-1,-1,-1,-1,-1.4517,0.7119,-0.6048,-0.3612,-0.2859 +train,823924,180000.00,10/1/2014 0:00,4/1/2015 0:00,software test engineer,Noida,m,9/1/1991 0:00,80.6,cbse,2009,74.6,cbse,17205,2,B.Tech/B.E.,computer science & engineering,57.5,17205,0,Punjab,2014,485,440,445,0.356536487724475,485,-1,346,-1,-1,-1,-1,0.2718,0.2124,0.7785,1.9207,-0.6692 +train,1089265,180000.00,11/1/2012 0:00,5/1/2013 0:00,desktop support analyst,Gurgaon,m,2/5/1989 0:00,67,cbse,2007,65,cbse,7557,2,B.Tech/B.E.,information technology,65,7557,1,Delhi,2012,525,420,475,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-0.3027,-0.7866,-0.2974,0.2727,0.0973 +train,948661,320000.00,4/1/2014 0:00,4/1/2014 0:00,engineer,Chennai,m,3/7/1991 0:00,75,icse,2010,67.75,nios,13209,2,B.Tech/B.E.,computer science & engineering,72.9,13209,0,West Bengal,2014,415,280,365,0.911395278391328,285,-1,500,-1,-1,-1,-1,-0.8772,-0.4536,0.6248,-0.1076,0.6721 +train,507994,195000.00,3/1/2014 0:00,present,software engineer,Mumbai,f,4/2/1991 0:00,82,central board of secondary education,2008,65.6,central board of secondary education,12378,2,B.Tech/B.E.,information technology,54.68,12378,0,Maharashtra,2012,415,450,430,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-1.6538,0.5008,1.1437,1.2374,-0.4455 +train,638979,300000.00,12/1/2013 0:00,4/1/2013 0:00,java software engineer,Hyderabad,m,10/20/1991 0:00,89,state board,2009,92.5,state board,11993,2,B.Tech/B.E.,computer science & engineering,87.9,11993,0,Andhra Pradesh,2013,485,525,665,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.5591,1.3779,0.6248,-0.7415,-0.2859 +train,507959,240000.00,7/1/2013 0:00,4/1/2014 0:00,software developer,-1,m,8/18/1991 0:00,81.8,cbse,2009,75,cbse,12378,2,B.Tech/B.E.,computer engineering,60.56,12378,0,Maharashtra,2013,555,350,560,0.968237495890543,605,-1,-1,-1,-1,-1,-1,-1.4992,-0.7473,-1.6502,1.4724,-0.7615 +train,1208099,300000.00,8/1/2014 0:00,present,trainee software engineer,-1,f,12/18/1991 0:00,81,state board,2010,66.3,state board,11153,2,B.Tech/B.E.,computer science & engineering,76.3,11153,1,West Bengal,2014,675,510,400,0.622642915849938,415,-1,407,-1,-1,-1,-1,-0.0154,1.0449,0.4711,-0.995,-0.2859 +train,707151,200000.00,11/1/2013 0:00,11/1/2014 0:00,software engineer,Bangalore,m,3/5/1992 0:00,85,state board,2009,91,state board,13741,2,B.Tech/B.E.,electronics and communication engineering,78,13741,0,Andhra Pradesh,2013,485,340,485,0.694479327708463,225,366,-1,-1,-1,-1,-1,-0.0154,0.0459,1.2396,0.7798,-0.0943 +train,895667,655000.00,6/1/2014 0:00,present,software test engineer,gurgaon,f,8/31/1992 0:00,92.6,cbse,2010,94.6,cbse,849,1,B.Tech/B.E.,computer science & engineering,83,849,0,Uttar Pradesh,2014,710,640,650,0.486747008438193,675,-1,376,-1,-1,-1,-1,-0.7335,-0.4536,0.6248,0.5262,-0.4776 +train,509310,345000.00,9/1/2012 0:00,present,software developer,Navi Mumbai,f,2/6/1990 0:00,80.2,cbse,2008,72,cbse,4948,2,B.Tech/B.E.,electronics and communication engineering,72.25,4948,1,Rajasthan,2012,590,400,545,0.538386892985096,-1,333,-1,-1,-1,-1,-1,1.1283,1.1248,1.1074,-0.7603,0.3049 +train,628645,215000.00,7/1/2013 0:00,present,qa analyst,Chennai,f,9/25/1991 0:00,77.7,state board,2009,85,state board,1263,2,B.Tech/B.E.,computer science & engineering,78.5,1263,1,Tamil Nadu,2013,555,500,425,0.635978756456794,445,-1,-1,-1,-1,-1,-1,0.4155,0.3789,0.4711,-0.6147,-0.0943 +train,240634,350000.00,8/1/2011 0:00,11/1/2014 0:00,senior engineer,Hyderabad,m,6/30/1989 0:00,80.2,cbse,2007,77.6,cbse,48,1,B.Tech/B.E.,electronics and communication engineering,74.3,48,1,Delhi,2011,505,555,555,0.910770164246022,425,433,-1,-1,-1,286,-1,-1.0355,-0.2793,0.9623,0.0623,-0.4455 +train,1230280,315000.00,3/1/2015 0:00,4/1/2015 0:00,software engineer,Bangalore,m,6/21/1992 0:00,86.8,cbse,2009,63.6,state board,2285,2,B.Tech/B.E.,computer science & engineering,85.2,2285,0,West Bengal,2014,570,495,740,0.996744486852253,635,-1,623,-1,-1,-1,-1,0.2718,0.7119,-1.2196,1.1601,0.2889 +train,416040,400000.00,7/1/2012 0:00,present,senior .net developer,Noida,m,4/3/1990 0:00,80.6,0,2007,67,0,53,2,B.Tech/B.E.,information technology,63.19,53,0,Uttar Pradesh,2012,465,435,585,0.765673581234011,485,-1,-1,-1,-1,-1,-1,0.626,0.0328,1.5428,0.6204,-0.2875 +train,287647,325000.00,7/1/2012 0:00,7/1/2013 0:00,graduate engineer,Pune,m,4/2/1989 0:00,69.6,cbse,2006,68,cbse,8362,1,M.Tech./M.E.,computer engineering,70.25,8362,1,Maharashtra,2015,565,535,575,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-1.1901,0.9688,0.3817,0.0623,-1.8673 +train,265914,325000.00,7/1/2012 0:00,8/1/2014 0:00,software engineer,-1,f,5/26/1990 0:00,86.5,ssc,2007,93.1,bie,4128,2,B.Tech/B.E.,computer engineering,70,4128,1,Telangana,2011,645,605,595,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.0464,-0.1232,-0.0537,1.1199,-0.7615 +train,1152107,120000.00,3/1/2013 0:00,2/1/2014 0:00,front end web developer,Kolkata,m,10/30/1989 0:00,74.8,icse,2008,79,icse,12992,2,B.Tech/B.E.,electronics and electrical engineering,71,12992,1,West Bengal,2012,735,565,370,-1,525,-1,-1,-1,-1,-1,-1,-0.159,0.0459,0.1637,0.1459,-1.0524 +train,225959,395000.00,9/1/2013 0:00,present,quality assurance automation engineer,Bangalore,m,11/3/1989 0:00,86.13,"maharashtra state board of secondary and higher secondary education,pune",2008,82.5,department of pre-university education,8099,2,B.Tech/B.E.,computer engineering,67.38,8099,0,Karnataka,2012,625,545,535,0.842248322257836,575,-1,469,-1,-1,-1,-1,-3.1994,-1.8393,-1.9405,1.3549,-1.2354 +train,421614,215000.00,10/1/2012 0:00,4/1/2013 0:00,production engineer,Noida,m,6/16/1990 0:00,81.66,uttarakhand board,2007,80,uttarakhand board,79,2,B.Tech/B.E.,electronics and communication engineering,66.5,79,0,Uttar Pradesh,2012,435,315,465,0.376059586651545,-1,300,-1,-1,-1,-1,-1,1.3215,-0.5913,0.3817,0.4442,-1.3934 +train,637441,350000.00,10/1/2013 0:00,4/1/2015 0:00,test engineer,Hyderabad,m,7/24/1991 0:00,91.3,state board,2009,91.2,state board,1428,2,B.Tech/B.E.,electronics and communication engineering,70,1428,1,Telangana,2013,520,605,855,0.229481754911755,315,266,407,-1,-1,393,-1,-0.0154,0.8784,-0.6048,-0.995,0.4805 +train,815820,580000.00,1/1/2015 0:00,present,engineer,Noida,m,9/18/1991 0:00,88.4,cbse,2009,75.5,cbse,44,2,B.Tech/B.E.,electronics and communication engineering,80.42,44,0,Uttar Pradesh,2014,545,630,545,0.493596387301038,475,324,-1,-1,-1,-1,-1,-1.1644,-1.6191,-0.7585,0.653,-0.6692 +train,40772,650000.00,7/1/2010 0:00,2/1/2013 0:00,assistant manager,Noida,m,9/3/1984 0:00,75,mp,2003,82.5,mp,400,1,B.Tech/B.E.,electrical engineering,80,400,0,Madhya Pradesh,2010,375,445,554,0.376059586651545,175,300,-1,-1,-1,-1,-1,-0.2628,-0.2793,-0.344,0.7673,-0.4455 +train,135074,360000.00,10/1/2011 0:00,2/1/2012 0:00,engineering technician,"Al Jubail,Saudi Arabia",m,5/7/1985 0:00,75,0,2007,76.3,0,1424,2,B.Tech/B.E.,electronics & instrumentation eng,71.7,1424,0,West Bengal,2010,325,335,525,0.538386892985096,385,333,-1,-1,-1,-1,-1,-0.880999999999999,-1.5273,1.2525,-0.2902,0.1864 +train,611021,335000.00,4/1/2014 0:00,present,programmer analyst,Bangalore,f,6/13/1992 0:00,85,state board,2009,95,state board,4984,2,B.Tech/B.E.,electronics and communication engineering,75.8,4984,1,Telangana,2013,450,450,620,0.538386892985096,415,333,-1,-1,-1,286,-1,0.7027,0.7119,-0.1437,-1.5021,-0.4776 +train,1255815,150000.00,3/1/2015 0:00,4/1/2015 0:00,production engineer,Greater Noida,m,8/21/1993 0:00,71.1,cbse,2011,64.5,state board,14169,2,B.Tech/B.E.,mechanical engineering,60.05,14169,0,Uttar Pradesh,2015,560,340,390,0.328746378624932,-1,-1,-1,346,-1,-1,-1,-0.0154,-0.6201,-0.4511,0.1459,-1.244 +train,947006,380000.00,7/1/2014 0:00,present,product engineer,Bangalore,m,9/11/1991 0:00,80.4,cbse,2009,92.25,state board,979,2,B.Tech/B.E.,telecommunication engineering,67.22,979,1,Karnataka,2014,755,620,570,-1,595,-1,469,-1,-1,-1,-1,-0.7335,-0.4536,1.7007,0.0192,0.0973 +train,619949,350000.00,10/1/2014 0:00,present,junior engineer,Mangalore,m,4/5/1991 0:00,73,cbse,2009,74,state board,275,2,B.Tech/B.E.,mechanical engineering,82,275,1,Karnataka,2013,615,350,400,0.535862819499896,-1,-1,-1,393,-1,-1,-1,-0.0154,0.0459,0.3174,0.7798,-0.6692 +train,662149,60000.00,1/1/2014 0:00,7/1/2014 0:00,software developer,Kolkata,m,3/28/1990 0:00,73,state board,2007,65,state board,13095,2,B.Tech/B.E.,computer engineering,83,13095,1,West Bengal,2013,360,585,575,0.916869961103619,555,-1,-1,-1,-1,-1,-1,-2.7443,-3.4506,-1.6807,-0.2344,-4.3099 +train,543624,105000.00,7/1/2014 0:00,present,software engineer,Bangalore,m,4/26/1992 0:00,85.72,matriculation,2009,91.58,state board,8011,2,B.Tech/B.E.,electronics and communication engineering,78.5,8011,0,Tamil Nadu,2013,475,485,455,0.376059586651545,-1,300,-1,-1,-1,393,-1,-0.880999999999999,0.3838,-0.7068,-0.8778,-0.9194 +train,1171255,140000.00,1/1/2011 0:00,6/1/2011 0:00,research engineer,Udaipur,m,5/9/1991 0:00,77.2,cbse,2009,71.2,cbse,11339,2,B.Tech/B.E.,computer science & engineering,74.09,11339,0,Rajasthan,2014,455,495,370,0.0409993103614119,425,-1,223,-1,-1,-1,-1,0.1282,-0.9531,-0.1437,0.1459,-0.0943 +train,1010140,330000.00,6/1/2014 0:00,1/1/2015 0:00,systems engineer,Bhubaneshwar,m,6/11/1991 0:00,89.76,icse,2009,82,cbse,8440,1,B.Tech/B.E.,electronics and instrumentation engineering,72,8440,0,Orissa,2017,595,590,665,0.849802713510871,505,-1,-1,-1,-1,-1,-1,0.8463,1.3779,0.4711,-0.8682,0.8637 +train,206807,300000.00,6/1/2011 0:00,3/1/2014 0:00,senior software engineer,New Delhi,m,7/8/1988 0:00,57,0,2004,62,0,144,2,MCA,computer application,74.23,144,0,Uttar Pradesh,2011,405,385,415,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-1.8083,-1.3713,-0.0537,-0.4078,-0.6035 +train,794276,120000.00,7/1/2014 0:00,present,business development manager,Noida,m,8/20/1992 0:00,67,state board,2009,61,cbse,8350,2,B.Tech/B.E.,electronics and communication engineering,62,8350,0,Uttar Pradesh,2014,500,470,485,0.493596387301038,345,324,-1,-1,-1,-1,-1,-1.1644,-0.2871,0.3174,1.0333,0.6721 +train,1281760,250000.00,10/1/2014 0:00,4/1/2015 0:00,network engineer,Noida,m,9/10/1992 0:00,77,icse,2009,70,icse,3579,2,B.Tech/B.E.,electronics and communication engineering,66.72,3579,0,Uttar Pradesh,2014,525,590,635,0.112139438207403,-1,228,-1,-1,-1,388,-1,-0.0154,-0.2871,-1.527,-0.4879,-2.2021 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technology,74,5026,0,Orissa,2011,365,585,415,0.600057182338341,435,-1,-1,-1,-1,-1,-1,1.2828,0.9688,0.672,1.0024,1.1343 +train,576183,395000.00,1/1/2014 0:00,present,assistant systems engineer,Chennai,m,3/30/1992 0:00,87,cbse,2009,73,cbse,144,2,B.Tech/B.E.,computer engineering,66.6,144,0,Uttar Pradesh,2013,625,585,750,0.952245572924303,585,-1,-1,-1,-1,-1,-1,-0.5899,0.0459,-0.9122,-1.1218,-0.4776 +train,1034790,335000.00,2/1/2014 0:00,present,programmer analyst,Chennai,m,3/27/1990 0:00,75,cbse,2007,62.8,cbse,903,2,B.Tech/B.E.,electronics & instrumentation eng,65,903,0,Uttar Pradesh,2013,490,530,485,-1,-1,-1,-1,-1,-1,-1,-1,0.7027,0.7119,0.7785,-0.2344,0.0973 +train,489939,285000.00,2/1/2013 0:00,present,customer service representative,Pune,m,9/17/1989 0:00,74.6,cbse,2006,58,cbse,6545,2,B.Tech/B.E.,computer engineering,73.86,6545,0,Uttar Pradesh,2011,710,585,530,0.635978756456794,445,-1,-1,-1,-1,-1,-1,0.2782,1.7488,0.3817,0.6204,0.9763 +train,1207299,300000.00,2/1/2014 0:00,4/1/2015 0:00,system engineer,Bangalore,m,6/4/1991 0:00,83,cbse,2008,70,state board,1725,2,B.Tech/B.E.,computer science & engineering,72,1725,0,Uttar Pradesh,2013,385,640,690,0.996744486852253,655,-1,623,-1,-1,-1,-1,-0.7335,0.3789,-0.1437,0.2727,0.4805 +train,281074,2300000.00,3/1/2014 0:00,present,software developer,"Kalmar, Sweden",m,6/11/1989 0:00,84.67,andhra pradesh state board,2007,77.1,andhra pradesh state board,3144,2,B.Tech/B.E.,electronics & instrumentation eng,76.5,3144,1,Tamil Nadu,2011,545,675,655,0.910770164246022,405,433,-1,-1,-1,-1,-1,-1.0355,1.7488,1.2525,0.5323,1.1343 +train,1060355,300000.00,5/1/2014 0:00,present,android developer,Bangalore,m,9/13/1992 0:00,87,state board,2010,81,state board,12984,2,B.Tech/B.E.,electronics and communication engineering,72,12984,0,Tamil Nadu,2014,570,495,525,0.0531603052826837,475,196,-1,-1,-1,-1,-1,0.5591,-0.1206,0.01,-1.6289,-1.6273 +train,1275106,300000.00,12/1/2014 0:00,1/1/2015 0:00,rf engineer,Trichy,m,11/17/1990 0:00,78.53,state board,2008,68.5,state board,8014,2,B.Tech/B.E.,electronics engineering,63.7,8014,0,Maharashtra,2013,560,495,500,-1,365,-1,-1,-1,-1,-1,-1,-0.159,-1.6191,1.3933,-2.136,-2.5853 +train,1058932,400000.00,1/1/2014 0:00,present,software developer,Bangalore,m,10/26/1989 0:00,73,cbse,2006,61.6,cbse,2177,1,B.Tech/B.E.,information technology,66.9,2177,0,Rajasthan,2013,595,570,725,0.953899775079926,535,-1,530,-1,-1,-1,-1,-0.4463,0.5454,0.4711,0.7798,-0.8608 +train,282180,500000.00,11/1/2011 0:00,2/1/2012 0:00,embedded software engineer,Bangalore,m,7/18/1987 0:00,67.7,up board,2005,78.2,up board,4439,2,B.Tech/B.E.,information technology,71,4439,0,Uttar Pradesh,2011,515,475,485,0.765673581234011,485,-1,-1,-1,-1,-1,-1,0.51,0.8128,1.8331,0.1798,0.8183 +train,259623,175000.00,3/1/2011 0:00,6/1/2012 0:00,it support specialist,Chennai,m,6/2/1988 0:00,54,0,2006,68,0,1114,2,B.Tech/B.E.,electronics and communication engineering,69,1114,0,Tamil Nadu,2010,505,295,375,-1,345,-1,-1,-1,-1,-1,-1,0.2009,-0.7473,-0.6343,-0.9953,-1.3934 +train,329829,240000.00,1/1/2014 0:00,present,human resource assistant,Secunderabad,m,4/7/1991 0:00,67,ssc,2008,65,board of intermediate,11183,2,B.Tech/B.E.,information technology,62,11183,1,Telangana,2012,375,355,255,0.190153405601018,315,-1,-1,-1,-1,-1,-1,-0.1082,-0.9033,-0.0537,0.6498,-1.2354 +train,985445,120000.00,11/1/2014 0:00,4/1/2015 0:00,technical support executive,"A-64,sec-64,noida",m,6/15/1991 0:00,48,state board,2008,54,state board,903,2,B.Tech/B.E.,information technology,56,903,0,Uttar Pradesh,2014,325,335,390,0.356536487724475,185,-1,346,-1,-1,-1,-1,-1.308,-1.7856,0.01,0.0192,-2.3937 +train,924753,325000.00,6/1/2014 0:00,present,systems engineer,Hyderabad,m,9/1/1992 0:00,96,icse,2010,79.5,state board,124,2,B.Tech/B.E.,computer science & engineering,90,124,0,Orissa,2014,765,670,720,0.842248322257836,575,-1,469,-1,-1,-1,-1,-0.4463,1.2114,0.9322,1.1601,-0.0943 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0:00,53.8,cbse,2009,59.6,cbse,11759,2,B.Tech/B.E.,information technology,80.68,11759,0,Uttarakhand,2013,425,560,370,0.992259189330951,665,-1,-1,-1,-1,-1,-1,-1.6924,0.8128,0.0914,1.5018,-0.4455 +train,791334,60000.00,9/1/2014 0:00,present,test engineer,Lucknow,f,9/5/1991 0:00,84,icse,2009,87,icse,8161,2,B.Tech/B.E.,computer science & engineering,80.3,8161,0,Uttar Pradesh,2013,615,470,470,0.930370607202691,565,-1,-1,-1,-1,-1,-1,-0.0154,0.7119,1.2396,-0.7415,1.247 +train,660959,190000.00,11/1/2013 0:00,6/1/2013 0:00,technical support engineer,Chennai,m,11/2/1990 0:00,83,state board,2009,86,state board,11473,2,B.Tech/B.E.,electronics and communication engineering,71,11473,1,Tamil Nadu,2013,555,555,280,0.376059586651545,425,300,-1,-1,-1,313,-1,-0.159,0.8784,0.7785,0.1459,1.247 +train,1125281,120000.00,10/1/2014 0:00,5/1/2015 0:00,sales executive,Hyderabad,m,11/1/1991 0:00,85,state board,2009,85.6,state board,8819,2,M.Tech./M.E.,computer science & 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0:00,embedded software engineer,-1,m,1/31/1990 0:00,88.33,icse,2008,85.2,cbse,3801,2,B.Tech/B.E.,computer engineering,88.3,3801,0,Karnataka,2012,585,575,605,0.960903087163164,595,-1,-1,-1,-1,-1,-1,-1.4606,-1.8393,-1.6502,0.2679,-1.8673 +train,818783,195000.00,7/1/2013 0:00,present,network engineer,Hyderabad,m,5/25/1992 0:00,76.6,state board,2010,67.8,state board of technical education,8820,2,B.Tech/B.E.,electronics and communication engineering,70.36,8820,1,Telangana,2013,380,495,515,0.338786347219528,195,292,-1,-1,-1,-1,-1,-0.159,-0.9531,-0.1437,0.1459,0.0973 +train,643081,300000.00,10/1/2014 0:00,present,application engineer,Bangalore,m,2/15/1993 0:00,78.4,cbse,2010,69.4,cbse,165,2,B.Tech/B.E.,electronics and communication engineering,69.53,165,1,Rajasthan,2014,590,450,485,0.960603251997053,-1,466,-1,-1,-1,-1,-1,0.8463,1.2114,0.3174,-0.2344,0.0973 +train,334001,415000.00,7/1/2012 0:00,2/1/2015 0:00,system engineer,Mumbai,m,8/25/1990 0:00,80.2,cbse ,2008,79.8,cbse,1622,2,B.Tech/B.E.,mechanical engineering,75.72,1622,0,Madhya Pradesh,2012,415,435,554,0.978855302392712,-1,-1,-1,564,-1,-1,-1,0.9737,1.4368,0.0914,-0.43717,-0.4455 +train,552431,460000.00,5/1/2013 0:00,present,software engineer,Gandhinagar,m,2/12/1991 0:00,73,gseb,2008,47.2,gshseb,121,1,M.Sc. (Tech.),information science,81.2,121,0,Gujarat,2013,545,610,560,-1,505,-1,-1,-1,-1,-1,-1,-0.3027,-2.6181,-1.9881,-1.1218,-1.4356 +train,343644,105000.00,10/1/2012 0:00,3/1/2014 0:00,seo executive,Greater Noida,m,3/11/1991 0:00,86.6,cbse,2008,74.4,cbse,11368,2,B.Tech/B.E.,computer engineering,68,11368,0,Uttar Pradesh,2012,525,645,405,0.488347976782714,405,-1,-1,-1,-1,-1,-1,0.0464,0.5008,-0.4891,0.41483,0.6603 +train,614028,300000.00,8/1/2014 0:00,5/1/2015 0:00,programmer analyst,Bangalore,m,2/15/1993 0:00,89.4,cbse,2010,88.4,cbse,272,2,B.Tech/B.E.,computer science & engineering,77.67,272,0,Punjab,2014,590,555,560,0.974396112538398,615,-1,-1,-1,-1,-1,-1,-0.0154,-0.1206,-0.6048,-1.7556,-1.4356 +train,313268,330000.00,7/1/2012 0:00,present,web developer,Chennai,m,2/20/1989 0:00,87.6,state board,2006,79,state board,439,2,B.Tech/B.E.,electronics and electrical engineering,66,439,1,Tamil Nadu,2010,455,465,605,0.694479327708463,-1,366,-1,-1,-1,-1,-1,0.51,0.1498,-0.0537,-1.23027,-0.4455 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0:00,software developer,Delhi,m,8/20/1991 0:00,58.16,up board,2009,72,up board,10932,2,B.Tech/B.E.,computer science & engineering,65.51,10932,0,Uttar Pradesh,2013,355,255,345,0.245455659999829,335,-1,-1,-1,-1,-1,-1,-0.880999999999999,0.1888,-0.7794,0.00352999999999999,-0.6035 +train,1266407,205000.00,8/1/2014 0:00,present,.net developer,Hyderabad,m,8/29/1993 0:00,65,state board,2010,81.2,state board,11870,2,B.Tech/B.E.,information technology,67,11870,0,Andhra Pradesh,2014,265,485,430,0.744758354008939,495,-1,438,-1,-1,-1,-1,0.99,1.2114,1.0859,-1.6289,0.0973 +train,785399,120000.00,11/1/2014 0:00,present,java developer,Gurgaon,m,6/8/1993 0:00,68,state board,2009,61.3,state board,11630,2,B.Tech/B.E.,computer science & engineering,63.72,11630,0,Uttar Pradesh,2014,450,500,530,0.842248322257836,345,-1,469,-1,-1,-1,-1,-0.5899,0.0459,0.6248,-0.1076,-0.8608 +train,1081456,220000.00,8/1/2014 0:00,1/1/2015 0:00,data analyst,Bangalore,m,6/5/1992 0:00,74.4,"board of secondary education,orissa",2009,71.66,state board,7814,2,B.Tech/B.E.,electronics & telecommunications,85.2,7814,0,Orissa,2014,335,505,475,0.338786347219528,595,292,-1,-1,-1,420,-1,0.2718,0.7119,0.3174,0.1459,-0.6692 +train,250796,575000.00,12/1/2011 0:00,present,technology analyst,Hyderabad,m,7/16/1990 0:00,89,0,2007,95.3,0,9836,2,B.Tech/B.E.,computer engineering,74.8,9836,1,Telangana,2011,485,445,595,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-0.7264,-0.9033,-1.5051,-0.5253,-0.6035 +train,1085605,200000.00,2/1/2014 0:00,3/1/2015 0:00,.net developer,Hyderabad,m,1/2/1992 0:00,74,state board,2009,94,state board,16187,2,B.Tech/B.E.,electronics and communication engineering,68,16187,1,Telangana,2013,395,370,310,0.279258511565122,255,-1,-1,-1,-1,292,-1,0.5591,0.8784,0.4711,-1.1218,1.247 +train,795771,310000.00,6/1/2014 0:00,4/1/2015 0:00,programmer analyst,-1,m,10/18/1991 0:00,93.3,icse,2010,93.5,isc,222,2,B.Tech/B.E.,industrial & production 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board,2009,81,state board,13994,2,B.Tech/B.E.,electronics and electrical engineering,66,13994,0,Andhra Pradesh,2013,310,305,415,0.661834475840071,315,-1,-1,-1,446,-1,-1,1.4208,0.7119,0.9322,0.5262,1.4386 +train,592393,200000.00,8/1/2014 0:00,present,field business development associate,Pune,f,3/14/1992 0:00,70.3,nagpur,2009,64.57,nagpur,3603,2,B.Tech/B.E.,electronics and electrical engineering,60,3603,0,Maharashtra,2013,535,390,470,0.243208656725607,-1,233,-1,-1,340,-1,-1,1.1336,0.8784,-0.1437,2.4278,1.247 +train,416769,325000.00,2/1/2014 0:00,present,systems engineer,-1,m,4/15/1990 0:00,83.66,cbse,2007,80,cbse,7765,2,B.Tech/B.E.,electronics and communication engineering,75.22,7765,0,Uttar Pradesh,2012,495,655,605,0.694479327708463,255,366,-1,-1,-1,-1,-1,1.5644,1.5444,1.2396,-1.3753,0.0973 +train,329118,420000.00,11/1/2012 0:00,present,java developer,Chennai,m,5/14/1991 0:00,87,matriculation,2008,90,state board,8799,2,B.Tech/B.E.,electronics and electrical engineering,75,8799,0,Tamil 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Bengal,2012,415,485,530,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.0464,1.5538,0.5994,1.3549,0.6603 +train,729525,190000.00,11/1/2013 0:00,4/1/2014 0:00,qa analyst,Hyderabad,m,4/22/1991 0:00,82,state board,2009,83.7,state board,11000,2,B.Tech/B.E.,information technology,65.18,11000,1,Telangana,2013,415,470,385,0.165633091512476,305,-1,-1,-1,-1,-1,-1,0.8463,1.3779,1.7007,-0.7415,0.2889 +train,1218497,145000.00,10/1/2012 0:00,4/1/2013 0:00,operations analyst,Bhopal,m,6/6/1990 0:00,82.8,cbse,2008,67.2,cbse,15009,2,B.Tech/B.E.,computer science & engineering,75.69,15009,0,Madhya Pradesh,2012,545,735,560,0.978799292641428,525,-1,561,-1,-1,-1,-1,0.5591,-0.4536,-0.1437,-0.8682,-0.4776 +train,861979,240000.00,8/1/2013 0:00,1/1/2014 0:00,desktop support technician,Noida,m,7/2/1990 0:00,72,cbse,2009,55,cbse,9737,2,B.Tech/B.E.,mechanical engineering,61,9737,0,Uttar Pradesh,2013,555,555,385,0.328746378624932,-1,-1,-1,346,-1,-1,-1,-0.4463,-0.1206,-1.0659,-0.1076,-0.0943 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0:00,74.6,cbse,2008,74.6,cbse,172,2,B.Tech/B.E.,computer engineering,66,172,0,Uttar Pradesh,2012,455,345,515,0.342314899911815,365,-1,-1,-1,-1,-1,-1,0.0464,0.6568,0.0914,1.82493,-0.2875 +train,48029,500000.00,12/1/2010 0:00,present,senior software engineer,Jaipur,m,12/20/1988 0:00,86.17,rbse,2006,78.6,cbse,2857,1,B.Tech/B.E.,computer engineering,73.34,2857,1,Rajasthan,2010,505,495,695,0.987207085890868,645,-1,-1,-1,-1,-1,-1,-1.4992,0.5008,0.2366,0.6498,0.6603 +train,577659,300000.00,7/1/2013 0:00,1/1/2015 0:00,network engineer,hyderabad,m,11/5/1991 0:00,81,cbse,2009,90,ipe,499,2,B.Tech/B.E.,electronics and communication engineering,78,499,1,Telangana,2013,675,605,765,0.985461394326131,495,500,-1,-1,-1,-1,-1,0.7027,-0.1206,0.6248,0.3995,-0.4776 +train,1083507,345000.00,2/1/2015 0:00,present,system engineer,Kolkata,m,5/22/1992 0:00,72.12,state board,2009,78,state board,6884,2,B.Tech/B.E.,electronics and communication engineering,75,6884,0,West Bengal,2014,420,445,740,0.0531603052826837,415,196,-1,-1,-1,-1,-1,-1.8825,0.0459,-0.1437,0.0192,-0.2859 +train,116996,125000.00,3/1/2012 0:00,4/1/2014 0:00,software developer,Chennai,m,8/12/1987 0:00,71.4,state board,2007,81.75,dote (diploma - computer engg),6996,2,B.Tech/B.E.,computer engineering,70,6996,1,Tamil Nadu,2010,345,475,225,0.525922584252055,415,-1,-1,-1,-1,-1,-1,0.8192,1.2808,1.2525,-0.1727,0.8183 +train,41147,4000000.00,1/1/2010 0:00,12/1/2011 0:00,automation engineer,gurgaon,m,9/13/1987 0:00,53,up bord,2004,61,up bord,64,2,MCA,computer application,65,64,0,Uttar Pradesh,2010,405,455,475,0.525922584252055,415,-1,-1,-1,-1,-1,-1,-3.3539,-0.4353,-1.0697,-0.0552,-2.6572 +train,512833,100000.00,8/1/2013 0:00,1/1/2014 0:00,trainee software engineer,Pune,m,3/4/1989 0:00,65.26,cbse,2007,66.2,cbse,1199,2,B.Tech/B.E.,information technology,70.59,1199,0,Madhya Pradesh,2012,395,450,455,0.704090412131314,465,-1,-1,-1,-1,-1,-1,1.2828,0.8518,0.2729,0.7673,-0.6035 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0:00,83,0,2006,69.9,0,3076,2,MCA,computer application,76,3076,0,Tamil Nadu,2012,325,415,255,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.1855,-0.5913,0.5269,0.62043,-0.6035 +train,259792,120000.00,5/1/2011 0:00,1/1/2013 0:00,software engineer,chennai,m,5/21/1988 0:00,79.8,0,2006,74.5,0,4408,2,B.Tech/B.E.,computer engineering,74.3,4408,0,Tamil Nadu,2010,255,365,315,0.0422231310972419,225,-1,-1,-1,-1,-1,-1,-0.2628,-1.2153,-0.344,1.1199,-1.5513 +train,896167,305000.00,12/1/2014 0:00,present,software engineer,Bangalore,f,10/28/1991 0:00,83.33,state board,2010,75.6,state board,356,2,B.Tech/B.E.,information science engineering,76,356,1,Karnataka,2014,570,670,665,0.622642915849938,485,-1,407,-1,-1,-1,-1,1.4208,0.7119,0.3174,-1.7556,-0.6692 +train,456357,170000.00,9/1/2014 0:00,9/1/2015 0:00,android developer,Noida,m,2/25/1989 0:00,52,cbse,2008,55.6,jharkhand board,272,2,B.Tech/B.E.,information technology,62,272,0,Punjab,2012,485,495,445,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-1.3447,-2.7754,-1.7954,-0.349,-3.4471 +train,1058583,350000.00,6/1/2011 0:00,present,software developer,Bhopal,m,3/31/1990 0:00,74.6,state board,2007,81.6,state board,3720,2,B.Tech/B.E.,computer science & engineering,67.8,3720,0,Madhya Pradesh,2011,440,425,415,0.356536487724475,465,-1,346,-1,-1,-1,-1,-0.159,0.2124,-1.0659,-0.4879,0.2889 +train,652780,220000.00,6/1/2014 0:00,present,software developer,Hyderabad,m,5/18/1992 0:00,86,state board,2009,94.4,state board,9557,2,B.Tech/B.E.,electronics and communication engineering,73.75,9557,1,Telangana,2013,500,410,455,0.376059586651545,345,300,-1,-1,-1,-1,-1,-0.4463,-0.9531,-1.0659,-0.7415,-0.2859 +train,995603,240000.00,2/1/2014 0:00,present,software engineer,-1,m,9/14/1990 0:00,72.5,state board,2009,85.9,state board,16151,2,B.Tech/B.E.,electronics and communication engineering,72.24,16151,0,Andhra 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0:00,4/1/2015 0:00,system engineer,Gurgaon,m,10/1/1990 0:00,92.6,cbse,2008,83.8,cbse,1825,1,B.Tech/B.E.,computer engineering,84.6,1825,0,West Bengal,2013,650,545,665,0.978799292641428,585,-1,561,-1,-1,-1,-1,1.1336,1.0449,1.3933,-0.4879,0.2889 +train,624771,240000.00,12/1/2014 0:00,4/1/2015 0:00,software engineer,Bangalore,m,12/5/1991 0:00,89,state board,2009,80,state board,4233,2,B.Tech/B.E.,electronics and communication engineering,64.8,4233,0,Tamil Nadu,2013,545,535,485,0.376059586651545,285,300,-1,-1,-1,-1,-1,-0.159,-0.6201,0.3174,0.7798,-1.8189 +train,668896,450000.00,8/1/2013 0:00,4/1/2015 0:00,associate qa,Bangalore,f,3/8/1992 0:00,87,cbse,2009,80,cbse,6566,2,B.Tech/B.E.,electronics and communication engineering,73,6566,1,Karnataka,2013,660,645,695,0.824666400671332,335,400,-1,-1,-1,286,-1,1.4208,0.7119,0.3174,-0.2344,0.0973 +train,457565,500000.00,1/1/2013 0:00,4/1/2015 0:00,qa analyst,-1,f,1/19/1990 0:00,94,0,2008,88,0,1388,1,B.Tech/B.E.,computer 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0:00,present,senior software engineer,New Delhi,m,10/23/1990 0:00,61.5,up board,2008,64.4,up board,5904,2,B.Tech/B.E.,computer engineering,65.64,5904,0,Uttar Pradesh,2012,405,475,515,0.952245572924303,585,-1,-1,-1,-1,-1,-1,-1.6538,-0.5913,-0.4891,0.2973,-0.9194 +train,1282459,325000.00,8/1/2015 0:00,present,programmer analyst,Chennai,m,1/5/1994 0:00,90,state board,2011,88.3,state board,12941,2,B.Tech/B.E.,electronics and communication engineering,70.1,12941,0,Andhra Pradesh,2015,430,505,575,0.436962648056859,405,-1,-1,-1,-1,324,-1,-0.159,0.2124,0.3174,0.5262,-0.2859 +train,660767,200000.00,2/1/2014 0:00,9/1/2014 0:00,assistant store manager,Lucknow,m,10/23/1991 0:00,87,icse,2009,88,icse,8735,2,B.Tech/B.E.,computer science & engineering,66,8735,0,Uttar Pradesh,2013,545,555,575,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-0.8772,-0.4536,-1.527,-0.1076,0.0973 +train,518336,400000.00,9/1/2013 0:00,4/1/2015 0:00,business office manager,Unnao,m,1/4/1986 0:00,72,cbse,2005,70,icse,1638,2,B.Tech/B.E.,instrumentation and control engineering,61.7,1638,0,Uttar Pradesh,2012,685,525,605,0.538386892985096,-1,333,-1,-1,-1,-1,-1,0.626,0.9688,-1.7954,1.1492,-0.2875 +train,206571,200000.00,8/1/2011 0:00,10/1/2013 0:00,software developer,Noida,m,2/12/1989 0:00,72,cbse,2006,70,cbse,255,2,B.Tech/B.E.,computer engineering,72,255,0,Uttar Pradesh,2011,455,575,445,0.600057182338341,435,-1,-1,-1,-1,-1,-1,0.0464,0.5008,0.2366,-0.7603,-0.2875 +train,313081,100000.00,11/1/2011 0:00,1/1/2012 0:00,graduate engineer trainee,Gurgaon,m,8/10/1990 0:00,72.6,cbse,2007,66.6,cbse,6270,2,B.Tech/B.E.,electronics and electrical engineering,60,6270,0,Uttarakhand,2011,535,525,535,0.229481754911755,-1,266,-1,-1,-1,-1,-1,-0.4173,-1.0593,0.0914,-1.49467,-0.6035 +train,230669,300000.00,4/1/2011 0:00,5/1/2013 0:00,systems engineer,Pune,f,1/3/1990 0:00,94.1,0,2007,95,0,64,2,B.Tech/B.E.,computer engineering,80.2,64,0,Uttar Pradesh,2011,635,545,705,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.51,1.4368,-0.344,-0.2902,0.3444 +train,228148,105000.00,5/1/2014 0:00,3/1/2015 0:00,service coordinator,Bangalore,f,9/16/1989 0:00,58,0,2007,59,0,23,2,B.Tech/B.E.,electronics and communication engineering,60.5,23,0,Uttar Pradesh,2011,425,435,365,0.0587928000083534,-1,200,-1,-1,-1,-1,-1,0.51,0.3448,-0.6343,0.6498,0.8183 +train,654318,275000.00,7/1/2013 0:00,present,java software engineer,Hyderabad,m,1/21/1991 0:00,87,state,2009,93.9,state,9812,2,B.Tech/B.E.,electronics and communication engineering,74.13,9812,1,Telangana,2013,650,440,560,0.824666400671332,455,400,-1,-1,-1,-1,-1,0.2718,0.2124,-0.7585,-0.7415,-2.0105 +train,1048691,145000.00,10/1/2014 0:00,4/1/2015 0:00,technical support engineer,Noida,m,1/28/1993 0:00,73,icse,2010,62,cbse,78,2,B.Tech/B.E.,computer science & engineering,75,78,0,Uttar Pradesh,2014,405,545,535,0.953899775079926,495,-1,530,-1,-1,-1,-1,0.7027,-1.2861,-0.9122,-0.7415,-0.8608 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0:00,78.93,0,2008,65,0,7172,2,B.Tech/B.E.,computer engineering,67.63,7172,0,Maharashtra,2012,535,535,455,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.2628,1.5538,0.5994,-0.29027,0.3444 +train,796708,325000.00,10/1/2014 0:00,present,system engineer,hyderabad,m,8/19/1991 0:00,78,cbse,2009,70,cbse,11848,1,B.Tech/B.E.,electronics and electrical engineering,62,11848,0,Bihar,2014,555,645,635,0.336185066042399,325,-1,-1,-1,366,-1,-1,1.1336,1.5444,1.8543,-1.7556,0.0973 +train,440338,550000.00,6/1/2012 0:00,present,software engineer,-1,m,12/27/1990 0:00,78.4,cbse,2008,83,cbse,35,1,B.Tech/B.E.,computer science & engineering,77,35,1,Delhi,2012,375,595,585,0.99405087195167,675,-1,-1,-1,-1,-1,-1,-0.5332,-0.2793,-0.7794,1.4136,-0.6035 +train,636907,380000.00,3/1/2014 0:00,present,system engineer,Gurgaon,m,2/15/1991 0:00,81.4,cbse,2009,82.8,cbse,4501,2,B.Tech/B.E.,computer engineering,73.5,4501,0,Uttar Pradesh,2013,465,580,680,0.990008756723898,655,-1,-1,-1,-1,-1,-1,-0.8772,-1.1196,0.3174,1.0333,-0.0943 +train,874568,150000.00,7/1/2014 0:00,4/1/2015 0:00,software developer,Bangalore,m,4/2/1990 0:00,70.56,state board,2009,57.58,state board,9718,2,B.Tech/B.E.,computer science & engineering,58,9718,0,Karnataka,2013,405,385,265,0.0800552813405495,375,-1,253,-1,-1,-1,-1,0.8463,-1.1196,-2.4491,0.653,-0.6692 +train,530381,370000.00,7/1/2013 0:00,present,project engineer,Bangalore,m,8/22/1991 0:00,81.2,icse,2009,85.1,icse,11759,2,B.Tech/B.E.,electronics and communication engineering,85.1,11759,0,Uttarakhand,2013,590,610,590,0.824666400671332,-1,400,-1,-1,-1,446,-1,-0.5719,0.0328,-0.8157,0.4148,-0.6035 +train,78940,420000.00,10/1/2010 0:00,2/1/2014 0:00,software engineer,Noida,m,7/1/1985 0:00,65.2,cbse,2003,60.4,cbse,137,2,B.Tech/B.E.,computer engineering,65,137,0,Uttar Pradesh,2010,455,485,645,0.765673581234011,485,-1,-1,-1,-1,-1,-1,0.2009,0.0328,1.2525,-0.8778,0.0284 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Nadu,2012,475,385,405,0.377551419424541,375,-1,-1,-1,-1,-1,-1,-2.5811,-1.0593,-0.0537,1.11982999999999,-0.2875 +train,202935,440000.00,4/1/2011 0:00,4/1/2015 0:00,product development engineer,Tirupati,m,11/8/1988 0:00,90,ssc,2008,79.1,sbtet,3174,2,B.Tech/B.E.,mechanical engineering,75.45,3174,0,Andhra Pradesh,2011,425,325,505,0.654107474545933,375,266,-1,420,-1,-1,380,1.9011,0.8128,0.2366,-1.8179,-1.5513 +train,472861,265000.00,2/1/2014 0:00,present,data analyst,Gurgaon,m,10/12/1992 0:00,82,cbse,2010,78,cbse,57,2,B.Tech/B.E.,electronics and communication engineering,64,57,0,Haryana,2014,395,495,575,0.991397583740291,-1,516,438,-1,-1,-1,-1,-0.5719,-0.4353,-0.7794,-1.7004,-0.5245 +train,51935,310000.00,7/1/2010 0:00,7/1/2012 0:00,software developer,Pune,f,3/30/1988 0:00,82.26,maharashtra state board,2005,81.33,maharashtra state board,127,2,B.Tech/B.E.,electronics and communication engineering,78.9,127,0,Maharashtra,2010,515,575,525,0.824666400671332,-1,400,-1,-1,-1,-1,-1,1.1283,1.1248,1.2525,1.5899,1.1343 +train,1149831,220000.00,6/1/2014 0:00,present,software engineer,Chennai,m,4/11/1993 0:00,92.8,state board,2010,91.83,state board,539,2,B.Tech/B.E.,information technology,70.9,539,0,Tamil Nadu,2014,595,480,645,0.942116551485008,575,-1,-1,-1,-1,-1,-1,-0.3027,0.7119,0.01,-0.3612,0.0973 +train,614047,115000.00,2/1/2015 0:00,present,engineering manager,Gurgaon,m,6/2/1993 0:00,79,cbse,2010,79.4,cbse,272,2,B.Tech/B.E.,mechanical engineering,68.58,272,0,Punjab,2014,510,560,720,0.459015840492937,355,-1,-1,376,-1,-1,-1,0.2718,-0.2871,-0.6048,1.1601,-1.6273 +train,1084888,350000.00,7/1/2014 0:00,5/1/2015 0:00,software engineer,New Delhi,m,6/17/1992 0:00,87.4,cbse,2010,90.2,cbse,6920,1,B.Tech/B.E.,information technology,76.1,6920,1,Delhi,2014,535,485,560,0.744758354008939,535,-1,438,-1,-1,-1,-1,-0.3027,-0.4536,-0.4511,-0.2344,0.4805 +train,57211,480000.00,6/1/2012 0:00,present,marketing analyst,Gonda,m,11/22/1989 0:00,62,0,2005,62,0,3579,2,B.Tech/B.E.,computer engineering,74,3579,0,Uttar Pradesh,2010,525,615,605,0.635978756456794,445,-1,-1,-1,-1,-1,-1,0.0464,-0.4353,0.0914,0.1798,-0.4455 +train,308775,360000.00,7/1/2012 0:00,3/1/2015 0:00,site manager,-1,m,5/10/1990 0:00,75,cbse,2008,62.8,cbse,5904,2,B.Tech/B.E.,electronics and electrical engineering,64.7,5904,0,Uttar Pradesh,2012,555,625,535,0.124502074009537,-1,233,-1,-1,-1,-1,-1,-0.2628,-1.2153,-1.5051,-0.8778,-0.6035 +train,552859,300000.00,6/1/2014 0:00,present,programmer analyst,New Delhi,m,10/1/1991 0:00,73.8,cbse,2009,68.8,cbse,13128,2,B.Tech/B.E.,electronics and communication engineering,75.14,13128,1,Delhi,2013,545,350,210,0.694479327708463,435,366,346,-1,-1,-1,-1,0.7027,-0.4536,0.7785,0.0192,-1.8189 +train,1198958,400000.00,10/1/2014 0:00,present,application engineer,hyderabad,m,3/13/1993 0:00,88.6,state board,2010,94.7,state board,5338,2,B.Tech/B.E.,computer science & engineering,75.4,5338,0,Andhra Pradesh,2014,465,570,520,0.911395278391328,635,-1,500,-1,-1,-1,-1,1.5644,1.2114,-0.7585,-2.136,-1.4356 +train,640459,600000.00,9/1/2013 0:00,4/1/2014 0:00,technical engineer,jamnagar,m,8/20/1991 0:00,87.4,cbse,2009,83.4,cbse,1622,2,B.Tech/B.E.,mechanical engineering,73.8,1622,0,Madhya Pradesh,2013,625,585,695,0.414337426422751,-1,-1,-1,366,-1,-1,-1,-0.3027,0.5454,0.4711,0.5262,0.8637 +train,662142,120000.00,3/1/2014 0:00,3/1/2015 0:00,apprentice,KOLKATA,m,10/19/1991 0:00,71.13,state board,2009,66,state board,13095,2,B.Tech/B.E.,electronics and communication engineering,77.7,13095,1,West Bengal,2013,345,495,575,0.985461394326131,-1,500,-1,-1,-1,-1,-1,0.8463,0.0459,1.0859,0.2727,1.6302 +train,632746,180000.00,7/1/2013 0:00,1/1/2014 0:00,technical support executive,Noida,m,3/15/1990 0:00,65.66,icse,2008,71.66,icse,9737,2,B.Tech/B.E.,electronics and communication engineering,65,9737,0,Uttar Pradesh,2013,570,510,470,0.694479327708463,-1,366,-1,-1,-1,393,-1,1.1336,1.7109,0.3174,-2.2627,1.4386 +train,580624,375000.00,9/1/2013 0:00,9/1/2014 0:00,software engineer,New Delhi,f,12/25/1990 0:00,85.6,cbse,2008,76.4,cbse,8195,1,B.Tech/B.E.,information technology,80.26,8195,1,Delhi,2013,660,645,695,0.901489571371033,545,-1,-1,-1,-1,-1,-1,1.1336,0.8784,0.7785,-0.2344,0.4805 +train,618785,335000.00,4/1/2014 0:00,4/1/2015 0:00,programmer analyst,Bangalore,m,7/1/1991 0:00,80,cbse,2008,77,cbse,11759,2,B.Tech/B.E.,electronics and communication engineering,75,11759,0,Uttarakhand,2013,545,555,765,0.824666400671332,-1,400,-1,-1,-1,206,-1,-2.8879,-4.2831,-3.2176,-1.1218,-5.4595 +train,846398,300000.00,1/1/2015 0:00,present,associate software engineer,Mumbai,f,1/23/1993 0:00,77.8,cbse,2010,79.2,cbse,14351,2,B.Tech/B.E.,electronics & telecommunications,73.3,14351,0,Punjab,2014,405,525,415,0.649389714846691,355,356,-1,-1,-1,-1,-1,0.2718,0.0459,-0.6048,-0.1076,0.0973 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technology,63.6,648,0,Kerala,2011,445,485,665,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-1.6538,1.2808,-0.7794,-1.4653,-1.0774 +train,1077044,505000.00,8/1/2014 0:00,4/1/2015 0:00,software engineer,Bhubaneswar,m,7/7/1993 0:00,86.37,state board,2010,80.5,state board,14716,2,B.Tech/B.E.,electronics & telecommunications,79.98,14716,0,Orissa,2014,570,410,500,-1,495,-1,-1,-1,-1,-1,-1,0.5591,0.5454,-0.1437,-2.3895,1.0554 +train,543804,930000.00,6/1/2013 0:00,5/1/2015 0:00,software engineer,New Delhi,f,3/17/1991 0:00,88.57,icse,2009,91,isc,55,2,B.Tech/B.E.,computer engineering,76.32,55,0,Uttar Pradesh,2013,650,695,705,0.901489571371033,545,-1,-1,-1,-1,-1,-1,-0.4173,-0.0842,-0.598,-0.7603,-0.6035 +train,683102,325000.00,2/1/2014 0:00,present,systems engineer,Mysore,f,3/14/1991 0:00,92.8,cbse,2009,74.6,cbse,6997,2,B.Tech/B.E.,computer science & engineering,76,6997,0,Orissa,2013,805,595,585,0.144789889482462,404,-1,284,-1,-1,-1,-1,1.1336,0.8784,0.1637,-1.2486,0.0973 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0:00,92.6,cbse,2009,91.6,cbse,47,1,B.Tech/B.E.,electronics and communication engineering,79.74,47,1,Delhi,2014,710,560,590,0.649389714846691,475,356,-1,-1,-1,-1,-1,1.4208,1.2114,-0.2974,-1.6289,0.6721 +train,215848,490000.00,11/1/2011 0:00,present,test engineer,Mysore,m,5/31/1988 0:00,89,icse,2006,75,"chse,orissa",5026,2,B.Tech/B.E.,electronics and communication engineering,76.6,5026,0,Orissa,2011,545,445,625,0.376059586651545,395,300,-1,-1,-1,340,-1,0.6646,-0.7473,-1.5051,1.1199,-0.1295 +train,1093595,310000.00,8/1/2014 0:00,4/1/2015 0:00,software engineer,Pune ,m,10/21/1991 0:00,80.33,state board,2010,81,state board,13801,2,B.Tech/B.E.,electronics & telecommunications,78.5,13801,0,Madhya Pradesh,2014,385,595,440,0.881620069530177,-1,420,-1,-1,-1,-1,-1,-0.0154,0.5454,1.2396,-0.1076,-0.2859 +train,50240,550000.00,9/1/2012 0:00,4/1/2014 0:00,business consultant,Gurgaon,m,12/21/1987 0:00,52,cbse,2006,55,cbse,2927,2,B.Tech/B.E.,computer 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manager,Vadodara,m,5/3/1988 0:00,86,gseb,2006,70,ghseb,412,2,B.Tech/B.E.,mechanical engineering,68.31,412,0,Gujarat,2010,375,365,465,0.755375120895548,305,-1,-1,446,-1,-1,-1,0.9737,-1.5273,0.672,-0.0552,-1.2354 +train,373206,150000.00,12/1/2012 0:00,3/1/2013 0:00,executive engineer,Navi Mumbai,m,2/22/1991 0:00,74.67,ssc maharashtra board,2008,69.5,hsc maharashtra board,13536,2,M.Tech./M.E.,other,69,13536,1,Maharashtra,2015,545,545,435,-1,285,-1,-1,-1,-1,-1,-1,1.59199999999999,0.7348,0.4906,-0.9953,0.1864 +train,1232472,220000.00,11/1/2013 0:00,7/1/2013 0:00,technical support engineer,Noida,m,7/1/1992 0:00,85,cbse,2009,72,cbse,13881,2,B.Tech/B.E.,electronics and communication engineering,69.8,13881,0,Uttar Pradesh,2013,745,650,655,-1,445,-1,-1,-1,-1,-1,-1,1.7081,1.5444,0.9322,-2.2627,0.6721 +train,653947,220000.00,7/1/2013 0:00,2/1/2014 0:00,technical support specialist,Hyderabad,m,7/24/1990 0:00,73.2,cbse,2009,74.3,state board,3547,2,B.Tech/B.E.,computer science & 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application,80,15406,1,Delhi,2014,665,475,655,0.942116551485008,575,-1,-1,-1,-1,-1,-1,-0.7264,1.1248,-2.2308,-0.6428,0.8183 +train,1088670,265000.00,3/1/2015 0:00,present,software developer,Bangalore,m,4/28/1990 0:00,78,icse,2008,77,cbse,2009,2,B.Tech/B.E.,electronics and communication engineering,83,2009,1,West Bengal,2013,710,590,605,0.112139438207403,415,228,-1,-1,-1,-1,-1,-0.7335,1.3779,0.6248,0.2727,-0.6692 +train,1048133,200000.00,10/1/2013 0:00,10/1/2014 0:00,controls engineer,Hyderabad,m,7/22/1992 0:00,78.5,state board,2009,83,state board,16171,2,B.Tech/B.E.,electronics and communication engineering,77.72,16171,0,Telangana,2013,350,470,405,0.207392169717661,355,260,-1,-1,-1,-1,-1,1.7081,0.7119,0.6248,-1.3753,0.6721 +train,1006756,315000.00,7/1/2014 0:00,3/1/2015 0:00,software engineer,Bangalore,m,7/21/1993 0:00,81.5,state board,2010,82.3,state board,449,2,B.Tech/B.E.,electronics and communication engineering,77,449,1,Tamil Nadu,2014,405,495,585,-1,385,-1,-1,-1,-1,-1,-1,0.7027,0.0459,0.6248,-0.3612,-0.2859 +train,358346,460000.00,3/1/2013 0:00,4/1/2015 0:00,system engineer,Gurgaon,m,10/31/1990 0:00,87,cbse,2008,81,cbse,10185,2,B.Tech/B.E.,computer science & engineering,74.44,10185,0,Haryana,2012,635,635,735,0.916869961103619,555,-1,-1,-1,-1,-1,-1,0.3555,-0.7473,-0.4891,-0.9953,-0.8799 +train,796597,400000.00,4/1/2013 0:00,present,senior software developer,Pune,m,5/13/1990 0:00,67,cbse,2008,62.8,cbse,3238,2,B.Tech/B.E.,electronics and communication engineering,70.9,3238,0,Madhya Pradesh,2012,605,570,515,0.649389714846691,565,356,-1,-1,-1,-1,-1,-0.3027,1.2114,-0.1437,0.653,-0.0943 +train,906332,135000.00,7/1/2014 0:00,1/1/2015 0:00,software test engineer,Noida,m,3/17/1988 0:00,55.3,state board,2004,72,state board,67,2,B.Tech/B.E.,computer science & engineering,71,67,0,Uttar Pradesh,2014,520,545,705,0.911395278391328,485,-1,500,-1,-1,-1,-1,0.4155,-0.6201,-0.4511,-0.995,-1.0524 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telecommunications,62,13424,0,Maharashtra,2013,675,630,485,0.207392169717661,405,260,-1,-1,-1,-1,-1,1.7081,0.5454,0.9322,-0.4879,0.8637 +train,451869,340000.00,12/1/2012 0:00,present,programmer analyst,Chennai,m,10/3/1990 0:00,82,tamil nadu state,2008,81.9,tamil nadu state,11283,2,B.Tech/B.E.,electronics and electrical engineering,80.2,11283,0,Tamil Nadu,2012,695,465,365,0.538386892985096,405,333,-1,-1,-1,-1,-1,-1.3447,0.1498,1.3614,-0.1727,-0.1295 +train,206565,300000.00,9/1/2012 0:00,9/1/2015 0:00,senior php developer,New Delhi,m,7/5/1990 0:00,54,0,2006,64,0,255,2,B.Tech/B.E.,information technology,67.3,255,0,Uttar Pradesh,2011,305,415,415,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-0.1082,-0.7473,0.8171,-0.0552,-0.2875 +train,1119944,225000.00,12/1/2014 0:00,4/1/2015 0:00,software engineer,Kochi/Cochin,f,9/25/1992 0:00,83,cbse,2010,72,cbse,16161,2,B.Tech/B.E.,electronics & 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0:00,85.5,0,2006,81.1,0,4103,2,B.Tech/B.E.,information technology,72.44,4103,0,Telangana,2010,365,495,485,0.793580614548506,495,-1,-1,-1,-1,-1,-1,0.8192,-0.1232,-0.344,-1.1128,-0.7615 +train,987044,440000.00,1/1/2015 0:00,present,it analyst,Bangalore,m,12/14/1991 0:00,85,cbse,2010,82,cbse,13344,2,B.Tech/B.E.,computer science & engineering,81,13344,0,Uttar Pradesh,2014,615,630,560,0.842248322257836,525,-1,469,-1,-1,-1,-1,0.8463,0.3789,0.1637,-1.7556,-0.6692 +train,1089038,345000.00,2/1/2014 0:00,present,senior software engineer,"Navi Mumbai , Hyderabad",m,5/17/1992 0:00,87,state board,2009,95,state board,4325,2,B.Tech/B.E.,electronics and communication engineering,72.38,4325,0,Andhra Pradesh,2013,525,625,690,0.976292560913216,545,484,-1,-1,-1,-1,-1,-0.4463,-0.4536,-0.9122,-0.8682,-0.6692 +train,669977,350000.00,8/1/2013 0:00,present,account manager,Noida,m,3/6/1991 0:00,85,cbse,2009,76,cbse,9699,2,B.Tech/B.E.,computer 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0:00,present,assistant administrator,Hyderabad,m,6/26/1991 0:00,77.33,board of secondary education,2008,88.5,board of intermediate,894,2,M.Tech./M.E.,information technology,73.14,894,0,Tamil Nadu,2014,445,515,535,0.901489571371033,545,-1,-1,-1,-1,-1,-1,0.1623,-0.4353,-0.4891,-0.8778,-0.9194 +train,811023,200000.00,1/1/2015 0:00,present,business development executive,Noida,m,12/8/1992 0:00,83,cbse,2009,79.4,cbse,64,2,B.Tech/B.E.,electronics and electrical engineering,61,64,0,Uttar Pradesh,2014,465,495,560,0.163630926631106,365,-1,-1,-1,313,-1,-1,-0.5899,-0.1206,0.4711,0.653,-1.244 +train,822977,180000.00,4/1/2014 0:00,6/1/2014 0:00,sales executive,Faridabad,m,10/27/1992 0:00,73,cbse,2010,70.6,cbse,272,2,B.Tech/B.E.,mechanical engineering,72,272,0,Punjab,2014,570,520,470,0.328746378624932,-1,-1,-1,346,-1,-1,-1,-0.8772,0.8784,1.2396,0.2727,0.0973 +train,466809,280000.00,8/1/2012 0:00,2/1/2015 0:00,programmer,-1,m,11/18/1988 0:00,61.8,0,2006,55.4,0,3741,2,MCA,computer 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Pradesh,2013,325,470,570,0.843123726665742,515,-1,-1,-1,-1,-1,-1,0.1282,1.2114,0.01,-0.2344,0.2889 +train,810666,350000.00,9/1/2014 0:00,present,software developer,Noida,m,2/24/1992 0:00,83,cbse,2009,80.8,cbse,64,2,B.Tech/B.E.,information technology,70.24,64,0,Uttar Pradesh,2014,615,645,695,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.159,-0.7866,-0.1437,0.1459,-1.0524 +train,281155,455000.00,5/1/2011 0:00,present,software engineer,Bangalore,m,3/22/1987 0:00,68,0,2004,59.2,0,3144,2,B.Tech/B.E.,computer engineering,92,3144,1,Tamil Nadu,2011,544,595,495,0.843123726665742,515,-1,-1,-1,-1,-1,-1,0.6646,1.7488,0.3817,-1.4653,-0.2875 +train,1190691,360000.00,2/1/2015 0:00,present,c# developer,Hyderabad,m,3/16/1993 0:00,64,cbse,2010,61,icse,18409,2,B.Tech/B.E.,computer science and technology,63,18409,0,Uttarakhand,2014,455,505,465,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-1.7389,-1.2861,-1.3733,-0.6147,-0.4776 +train,274016,290000.00,6/1/2011 0:00,5/1/2013 0:00,software engineer,Chennai,m,6/2/1990 0:00,68.5,board of secondary education,2007,85.2,board of intermediate education,7077,2,B.Tech/B.E.,information technology,73.4,7077,0,Andhra Pradesh,2011,575,425,425,0.843123726665742,515,-1,-1,-1,-1,-1,-1,-1.1901,-2.1513,-0.1988,0.8848,-1.5513 +train,337919,360000.00,5/1/2012 0:00,4/1/2015 0:00,quality assurance test engineer,Bangalore,f,1/7/1991 0:00,91,0,2008,91,0,3076,2,B.Tech/B.E.,electronics and instrumentation engineering,81,3076,0,Tamil Nadu,2012,375,405,385,0.694479327708463,425,366,-1,-1,-1,-1,-1,0.0464,0.1498,-2.2308,-0.87777,0.0284 +train,1001424,230000.00,4/1/2014 0:00,7/1/2015 0:00,technical support engineer,Hyderabad,m,10/9/1992 0:00,82.5,state board,2010,95.7,state board,1450,2,B.Tech/B.E.,electrical engineering,72,1450,1,Telangana,2014,430,435,355,0.684565067658204,325,-1,-1,-1,452,-1,-1,-0.3027,1.7109,1.547,0.9066,1.0554 +train,389343,430000.00,5/1/2013 0:00,present,programmer,New Delhi,m,11/3/1990 0:00,74,cbse,2008,82.3,cbse,29,2,B.Tech/B.E.,computer engineering,75.5,29,1,Delhi,2012,435,615,525,0.952245572924303,585,-1,-1,-1,-1,-1,-1,0.51,0.1498,0.0552,1.7074,-0.1295 +train,333439,290000.00,8/1/2012 0:00,present,civil engineer,Joshimath,m,9/20/1991 0:00,67,uttrakhand board,2008,76,uttrakhand board,6434,2,B.Tech/B.E.,civil engineering,58,6434,0,Uttarakhand,2012,345,525,325,0.371138665635061,115,366,-1,-1,-1,-1,320,-1.8083,-1.9953,-1.2148,-0.26087,-3.1311 +train,358151,180000.00,10/1/2012 0:00,2/1/2013 0:00,technical support engineer,Delhi,m,9/2/1989 0:00,85,cbse,2007,79,cbse,167,2,B.Tech/B.E.,information technology,66,167,0,Haryana,2012,605,515,555,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-1.3447,-0.1232,-2.2308,0.1798,0.0679 +train,902971,325000.00,11/1/2013 0:00,4/1/2015 0:00,data analyst,Pune,f,2/11/1991 0:00,78,state board,2008,75.85,icse,4417,2,B.Tech/B.E.,electronics and communication engineering,73.9,4417,0,Madhya 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Bengal,2013,580,420,655,0.486747008438193,475,-1,376,-1,-1,-1,-1,-0.5899,0.5454,-0.6048,0.5262,0.0973 +train,552482,705000.00,3/1/2014 0:00,present,it business analyst,New Delhi,m,3/27/1991 0:00,90,cbse,2009,92,cbse,7542,2,B.Tech/B.E.,electronics and communication engineering,76.4,7542,1,Delhi,2013,695,450,665,0.538386892985096,485,333,-1,-1,-1,-1,-1,-0.4463,0.0459,-0.4511,0.5262,0.2889 +train,115378,500000.00,7/1/2010 0:00,4/1/2015 0:00,network engineer,chandigarh,m,8/13/1989 0:00,77,pseb,2007,76,psbte,153,2,B.Tech/B.E.,electronics and communication engineering,76.5,153,0,Punjab,2010,445,445,385,0.985461394326131,355,500,-1,-1,-1,-1,-1,-1.9629,-1.3713,-1.3599,-0.7603,-0.4455 +train,1143583,100000.00,3/1/2015 0:00,present,hr recruiter,Bhubaneswar,f,12/17/1992 0:00,86.5,state board,2010,58.04,state board,11013,2,B.Tech/B.E.,electronics & telecommunications,68,11013,0,Orissa,2014,360,370,390,0.338786347219528,405,292,-1,-1,-1,420,-1,1.2772,0.2124,-0.2974,-0.4879,0.6721 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0:00,76,cbse,2008,78,cbse,569,2,B.Tech/B.E.,biotechnology,77.8,569,0,Tamil Nadu,2012,575,455,525,0.866139820406941,-1,-1,-1,-1,-1,-1,-1,-1.1901,-0.0842,-1.0334,-0.05527,-0.7615 +train,1240138,300000.00,5/1/2014 0:00,4/1/2015 0:00,service coordinator,Gurgaon,m,12/22/1990 0:00,73.6,cbse,2008,68.2,cbse,7956,2,B.Tech/B.E.,electronics & telecommunications,65.8,7956,0,Maharashtra,2012,640,595,535,0.605533552346783,435,-1,-1,-1,-1,356,-1,0.1282,0.8784,0.3174,-1.1218,0.0973 +train,310559,560000.00,3/1/2012 0:00,11/1/2014 0:00,project engineer,Hyderabad,m,8/10/1990 0:00,87.33,0,2007,89,0,9557,2,B.Tech/B.E.,information technology,75.4,9557,1,Telangana,2011,525,415,475,0.819416529835888,505,-1,-1,-1,-1,-1,-1,0.8192,0.5008,0.8171,-0.4078,0.1864 +train,1066037,300000.00,3/1/2014 0:00,8/1/2014 0:00,educator,delhi,f,10/13/1992 0:00,81.6,cbse,2010,74.4,cbse,14004,2,B.Tech/B.E.,electronics and communication engineering,72,14004,0,Himachal Pradesh,2014,545,410,430,0.649389714846691,395,356,-1,-1,-1,-1,-1,1.4208,0.8784,0.6248,-1.1218,0.4805 +train,801492,240000.00,8/1/2014 0:00,4/1/2015 0:00,java software engineer,Bangalore ,m,12/16/1991 0:00,74,cbse,2009,74,state board,9133,2,B.Tech/B.E.,computer science & engineering,72,9133,0,Tamil Nadu,2013,345,570,455,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-1.7389,-0.6201,-0.2974,-0.6147,-0.0943 +train,543844,120000.00,7/1/2013 0:00,2/1/2014 0:00,software developer,Noida,m,11/20/1991 0:00,81.2,cbse,2009,78,cbse,55,2,B.Tech/B.E.,information technology,70,55,0,Uttar Pradesh,2013,485,525,310,0.843123726665742,515,-1,-1,-1,-1,-1,-1,-0.7651,-0.4353,-0.6343,0.8848,-0.9194 +train,817804,145000.00,2/1/2015 0:00,present,application engineer,Bangalore ,m,1/21/1993 0:00,81.6,state board,2010,77,state board,6566,2,B.Tech/B.E.,electronics and communication engineering,66.46,6566,1,Karnataka,2014,465,470,500,0.649389714846691,-1,356,-1,-1,-1,-1,-1,0.7027,0.2124,-0.4511,-0.1076,-0.2859 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technology,63.1,4554,0,Tamil Nadu,2011,665,665,635,0.670743151433127,455,-1,-1,-1,-1,-1,-1,-0.2628,0.3448,0.3817,-1.1128,-1.0774 +train,827639,340000.00,6/1/2014 0:00,3/1/2015 0:00,systems engineer,Pune,m,2/1/1993 0:00,91.6,cbse,2010,85.6,cbse,47,1,B.Tech/B.E.,electronics and communication engineering,72.7,47,1,Delhi,2014,590,575,635,0.649389714846691,525,356,-1,-1,-1,-1,-1,1.1336,0.5454,0.01,-2.0092,0.8637 +train,644790,1745000.00,7/1/2013 0:00,present,java software engineer,Johannesburg,m,2/7/1992 0:00,87.6,cbse,2009,79.8,cbse,124,2,B.Tech/B.E.,electronics and instrumentation engineering,83.4,124,0,Orissa,2013,710,655,840,0.538386892985096,-1,333,-1,-1,-1,-1,-1,-1.7389,-0.7866,1.0859,0.2727,-0.0943 +train,814093,340000.00,9/1/2014 0:00,present,software quality assurance tester,PUNE,f,7/19/1991 0:00,86.92,state board,2011,76,state board,11742,2,B.Tech/B.E.,computer science & engineering,72,11742,0,Maharashtra,2014,535,580,445,0.819416529835888,505,-1,-1,-1,-1,-1,-1,-1.1644,-0.4536,0.4711,-1.6289,0.8637 +train,872171,325000.00,8/1/2014 0:00,present,systems engineer,Lucknow,m,4/11/1992 0:00,88.6,icse,2010,83.25,icse,347,2,B.Tech/B.E.,electronics and communication engineering,86,347,0,Uttar Pradesh,2014,545,520,620,0.943272157866555,485,452,376,-1,-1,-1,-1,0.8463,0.3789,-0.2974,-0.8682,0.0973 +train,469205,180000.00,1/1/2014 0:00,12/1/2014 0:00,research associate,Kanpur,f,3/13/1990 0:00,69,icse,2008,77,isc,7766,2,B.Tech/B.E.,electronics & instrumentation eng,78,7766,0,Uttar Pradesh,2012,435,565,495,0.694479327708463,395,366,-1,-1,-1,-1,-1,0.9737,-0.2793,-1.9405,-0.0552,0.8973 +train,542353,180000.00,6/1/2013 0:00,6/1/2014 0:00,software engineer,Noida,m,8/30/1989 0:00,58.2,cbse,2009,67.6,cbse,350,2,B.Tech/B.E.,information technology,56.1,350,0,Uttar Pradesh,2013,555,605,385,-1,-1,-1,-1,-1,-1,-1,-1,-1.4992,0.7348,-0.8157,-0.1727,-0.9194 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board,2007,87.5,kerala state board,650,2,B.Tech/B.E.,electronics and communication engineering,68,650,0,Kerala,2012,305,395,445,0.824666400671332,345,400,-1,-1,-1,420,-1,-1.8083,-0.0842,0.2729,0.64983,0.5024 +train,361671,530000.00,9/1/2012 0:00,4/1/2015 0:00,software engineer,Bangalore,m,10/11/1990 0:00,95.04,kseeb,2008,87,karnataka pu board,1384,2,B.Tech/B.E.,computer engineering,86.5,1384,0,Karnataka,2012,615,665,525,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-0.5719,0.5008,-0.9245,-0.4078,0.1864 +train,1288243,360000.00,9/1/2014 0:00,present,software programmer,Noida,m,8/18/1992 0:00,81,cbse,2012,73,cbse,23,2,B.Tech/B.E.,information technology,61.6,23,0,Uttar Pradesh,2014,640,570,495,0.356536487724475,535,-1,346,-1,-1,-1,-1,-0.4463,0.8784,0.4711,-2.136,0.6721 +train,493734,400000.00,3/1/2013 0:00,4/1/2015 0:00,application developer,Chennai,m,10/24/1991 0:00,86.2,cbse,2008,91.33,stateboard/tamil nadu,3944,2,B.Tech/B.E.,computer science & engineering,84,3944,1,Tamil Nadu,2012,465,415,530,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-2.272,-0.9033,-0.6343,0.4148,-1.4724 +train,1099457,570000.00,7/1/2014 0:00,7/1/2015 0:00,software engineer,Bangalore,m,8/22/1994 0:00,87,cbse,2011,80,cbse,14004,2,B.Tech/B.E.,computer science & engineering,84,14004,0,Himachal Pradesh,2015,525,505,450,0.356536487724475,525,-1,346,-1,-1,-1,-1,-0.0154,0.8784,1.2396,-2.0092,1.247 +train,339994,200000.00,2/1/2014 0:00,5/1/2014 0:00,java software engineer,Indore,m,12/17/1987 0:00,62,state board,2007,67,state board,16687,2,B.Tech/B.E.,information technology,67,16687,0,Madhya Pradesh,2012,385,305,325,0.308400582860308,355,-1,-1,-1,-1,-1,-1,0.3555,0.8518,-0.2714,-0.99527,-0.4455 +train,374962,430000.00,1/1/2013 0:00,present,application developer,Bangalore,m,3/11/1991 0:00,80,ssc,2008,91.4,ssc,9774,2,B.Tech/B.E.,computer engineering,80.5,9774,1,Telangana,2012,415,625,675,0.930370607202691,565,-1,-1,-1,-1,-1,-1,-0.880999999999999,-0.2012,-1.0334,1.3549,-0.2875 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board,115,2,B.Tech/B.E.,computer science & engineering,91,115,0,Punjab,2014,685,670,720,0.911395278391328,525,-1,500,-1,-1,-1,-1,0.8463,-0.2871,-0.1437,0.3995,0.0973 +train,662921,325000.00,2/1/2014 0:00,4/1/2015 0:00,quality assurance test engineer,Hyderabad,m,2/12/1990 0:00,77,state board,2007,66.8,state board,9072,2,B.Tech/B.E.,electronics and electrical engineering,78,9072,0,Orissa,2013,465,525,645,0.783303536670298,275,388,253,-1,-1,-1,-1,-0.5899,0.0459,-1.8344,1.0333,0.8637 +train,746122,400000.00,3/1/2014 0:00,present,software engineer,Bangalore,m,11/15/1991 0:00,87.2,state board,2009,71,state board,5158,2,B.Tech/B.E.,computer science & engineering,69.62,5158,0,Uttarakhand,2013,395,570,635,0.842248322257836,465,-1,469,-1,-1,-1,-1,0.2718,-0.1206,1.0859,-0.2344,0.8637 +train,283274,600000.00,7/1/2011 0:00,present,software development engineer,Lucknow,m,6/13/1988 0:00,60.83,u p board,2006,70.4,u p board,4234,2,B.Tech/B.E.,information technology,70.38,4234,0,Uttar Pradesh,2011,355,515,595,0.793580614548506,495,-1,-1,-1,-1,-1,-1,0.8192,0.6568,0.672,-0.1727,0.0284 +train,1106060,310000.00,8/1/2014 0:00,present,junior software engineer,Noida,f,4/4/1992 0:00,95,cbse,2010,89,cbse,10185,2,B.Tech/B.E.,computer science & engineering,77,10185,0,Haryana,2014,595,545,690,0.999910407631314,615,-1,715,-1,-1,-1,-1,0.5591,1.2114,-0.6048,-0.4879,1.6302 +train,1093551,305000.00,8/1/2014 0:00,1/1/2015 0:00,associate software engineer,Pune,m,11/29/1991 0:00,76.4,cbse,2010,73.8,cbse,13801,2,B.Tech/B.E.,electronics and communication engineering,75,13801,0,Madhya Pradesh,2014,560,435,440,0.783303536670298,415,388,-1,-1,-1,-1,-1,-2.0262,0.5454,-0.4511,0.653,-0.2859 +train,941984,180000.00,11/1/2014 0:00,present,production engineer,kala amb ,m,8/24/1992 0:00,68,cbse,2010,74,cbse,272,2,B.Tech/B.E.,mechanical engineering,71.2,272,0,Punjab,2014,570,570,530,0.59828069148683,-1,-1,-1,407,-1,-1,-1,0.7027,-0.2871,-0.2974,-0.7415,-0.6692 +train,358850,310000.00,6/1/2012 0:00,present,product engineer,Bhubaneswar,m,5/29/1988 0:00,70.2,0,2005,55,0,9072,2,MCA,computer application,87,9072,0,Orissa,2012,425,485,345,0.942116551485008,575,-1,-1,-1,-1,-1,-1,-0.7264,-1.0593,-1.0697,0.7673,-2.3017 +train,745677,205000.00,5/1/2014 0:00,1/1/2015 0:00,programmer analyst,HYDERABAD,f,12/6/1991 0:00,74,cbse,2009,62,cbse,3158,2,B.Tech/B.E.,electronics and communication engineering,71,3158,1,Telangana,2013,465,450,295,0.538386892985096,375,333,253,-1,-1,-1,-1,-0.5899,-1.8855,-0.2974,1.1601,0.166999999999999 +train,1122706,110000.00,11/1/2014 0:00,4/1/2015 0:00,trainee engineer,-1,m,5/31/1991 0:00,76.2,cbse,2009,65.2,cbse,3449,2,B.Tech/B.E.,computer science & engineering,69.1,3449,0,Madhya Pradesh,2013,580,555,585,-1,-1,-1,-1,-1,-1,-1,-1,0.1282,-0.6201,-0.6048,-0.8682,-0.4776 +train,99750,120000.00,11/1/2013 0:00,9/1/2014 0:00,software test engineer,Hyderabad,f,10/31/1988 0:00,78.8,0,2006,88.9,0,4809,2,B.Tech/B.E.,electronics & telecommunications,65.8,4809,1,Telangana,2010,455,455,585,0.376059586651545,355,300,-1,-1,-1,-1,-1,-1.8083,-0.1232,0.3817,-0.5253,-0.4455 +train,643019,365000.00,1/1/2014 0:00,present,service manager,Jodhpur,m,3/6/1990 0:00,63.6,cbse,2009,69.33,cbse,6874,2,B.Tech/B.E.,industrial & production engineering,63.41,6874,0,Uttarakhand,2013,380,520,485,0.414337426422751,-1,-1,-1,366,-1,-1,-1,0.5591,-0.9531,0.1637,1.2869,0.0973 +train,326876,475000.00,7/1/2012 0:00,2/1/2015 0:00,teradata dba,-1,m,6/8/1991 0:00,82.4,mp board,2008,74.4,cbse,3879,2,B.Tech/B.E.,information technology,76.09,3879,0,Madhya Pradesh,2012,455,515,415,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-0.4173,0.3448,0.3817,-0.43717,-0.9194 +train,810396,195000.00,11/1/2014 0:00,present,full-time loss prevention associate,Kochi/Cochin,m,8/1/1990 0:00,69,state board,2008,65,state board,64,2,B.Tech/B.E.,electronics and communication engineering,61.8,64,0,Uttar Pradesh,2014,520,560,515,0.943272157866555,-1,452,-1,-1,-1,-1,-1,-1.7389,-0.2871,0.7785,2.1743,-0.2859 +train,1284041,120000.00,4/1/2014 0:00,present,test engineer,Pune,m,9/5/1992 0:00,71.33,state board,2010,66.46,state board,11467,2,B.Tech/B.E.,computer science & engineering,60,11467,0,Rajasthan,2014,475,410,505,0.978799292641428,415,-1,561,-1,-1,-1,-1,-0.4463,0.5454,1.0859,1.9207,0.8637 +train,1089390,300000.00,6/1/2014 0:00,present,programmer,Noida,m,1/8/1993 0:00,78.3,state board,2010,81,state board,1759,2,B.Tech/B.E.,computer science & engineering,78,1759,0,Punjab,2014,665,520,740,0.744758354008939,555,-1,438,-1,-1,-1,-1,-0.0154,-0.7866,-0.7585,-1.2486,-0.4776 +train,1131595,300000.00,1/1/2015 0:00,present,talent acquisition specialist,Hyderabad,m,4/26/1994 0:00,79.8,state board,2010,78.5,state board,7269,2,B.Tech/B.E.,electronics and communication engineering,61,7269,1,Telangana,2013,510,485,475,0.207392169717661,-1,260,-1,-1,-1,388,-1,0.4155,0.5454,0.9322,-0.6147,-0.2859 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Pradesh,2014,360,325,370,0.744758354008939,345,-1,438,-1,-1,-1,-1,0.7027,0.2124,0.7785,-0.6147,1.4386 +train,96613,370000.00,8/1/2010 0:00,present,it engineer,Chandigarh,m,10/7/1988 0:00,74.6,cbse,2005,80.8,cbse,67,2,B.Tech/B.E.,electronics and communication engineering,72.45,67,0,Uttar Pradesh,2010,535,415,635,0.960603251997053,-1,466,-1,-1,-1,-1,-1,0.8192,0.3448,1.1074,-0.1727,1.4502 +train,909998,400000.00,7/1/2014 0:00,5/1/2015 0:00,hardware engineer,Coimbatore,f,2/11/1993 0:00,88,state board,2010,92,state board,11135,1,B.Tech/B.E.,electronics and communication engineering,90.1,11135,1,Karnataka,2014,580,640,780,0.976292560913216,-1,484,-1,-1,-1,-1,-1,0.1282,0.8784,0.4711,-1.5021,-0.0943 +train,729532,200000.00,4/1/2013 0:00,3/1/2015 0:00,marketing coordinator,bangalore,m,8/11/1991 0:00,94.16,state board,2009,95.5,state board,11000,2,B.Tech/B.E.,electronics and communication engineering,83.62,11000,1,Telangana,2013,380,475,575,0.538386892985096,375,333,-1,-1,473,-1,-1,0.8463,1.2114,0.1637,-0.7415,1.0554 +train,358203,120000.00,3/1/2013 0:00,9/1/2013 0:00,marketing coordinator,Karnal,m,12/23/1990 0:00,82,haryana board of school education,2009,72,"technical board, punchkula",167,2,B.Tech/B.E.,information technology,64,167,0,Haryana,2012,455,425,365,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-0.880999999999999,0.6568,0.672,1.4136,-1.2354 +train,423047,350000.00,10/1/2012 0:00,present,technical engineer,Mumbai,m,8/11/1988 0:00,59,up board,2005,65.2,up board,184,2,B.Tech/B.E.,computer engineering,73.32,184,0,Uttar Pradesh,2012,435,385,575,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.1082,0.5008,-0.0537,0.5323,-0.5245 +train,353801,180000.00,5/1/2012 0:00,present,information security analyst,New Delhi,f,8/4/1990 0:00,69.4,cbse,2008,72.4,cbse,429,2,B.Tech/B.E.,information technology,78.6,429,0,Uttar Pradesh,2012,335,515,475,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-1.4992,0.8128,-0.9245,0.0623,-0.7615 +train,898656,240000.00,7/1/2014 0:00,4/1/2015 0:00,network engineer,Noida,m,10/13/1992 0:00,64,state board,2009,77,state board,66,2,B.Tech/B.E.,electronics and communication engineering,66,66,0,Uttar Pradesh,2014,405,470,500,0.991792428023941,-1,-1,-1,-1,-1,516,-1,-1.0208,-1.4526,0.6248,-0.995,0.0973 +train,1120492,200000.00,6/1/2014 0:00,4/1/2015 0:00,software test engineer,Noida,m,2/18/1991 0:00,78.57,icse,2009,71.52,icse,8634,2,B.Tech/B.E.,electronics & telecommunications,70.87,8634,0,Maharashtra,2013,525,570,405,0.991397583740291,385,516,-1,-1,-1,-1,-1,-0.5899,-0.2871,-0.4511,0.9066,-1.6273 +train,266098,310000.00,5/1/2012 0:00,present,qa analyst,Hyderabad,f,6/2/1990 0:00,76.8,ssc,2007,80.8,board of intermidiate examination,4128,2,B.Tech/B.E.,computer engineering,64.3,4128,1,Telangana,2011,345,385,385,0.190153405601018,315,-1,-1,-1,-1,-1,-1,-0.4173,0.0328,0.2366,-0.2902,0.1864 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0:00,88.2,cbse,2008,76.5,chse,9786,2,B.Tech/B.E.,electronics and communication engineering,68.34,9786,0,Orissa,2012,535,395,575,0.538386892985096,375,333,-1,-1,-1,393,-1,-0.880999999999999,-2.3073,-1.7954,0.3561,-0.2875 +train,662137,70000.00,1/1/2015 0:00,4/1/2015 0:00,software developer,Kolkata,m,5/15/1990 0:00,70.25,wbbse,2009,68.6,bseb,13095,2,B.Tech/B.E.,computer engineering,80.02,13095,1,West Bengal,2013,250,460,385,0.23780283983757,365,-1,315,-1,-1,-1,-1,-2.3134,0.0459,-0.1437,1.1601,-1.244 +train,123487,630000.00,1/1/2011 0:00,4/1/2015 0:00,software developer,Mumbai,f,7/11/1989 0:00,82.13,maharashtra board,2006,78.5,maharashtra board,1277,2,B.Tech/B.E.,information technology,62.13,1277,1,Maharashtra,2010,755,625,665,0.930370607202691,565,-1,-1,-1,-1,-1,-1,-0.4173,-0.1232,-1.0697,0.4148,0.6603 +train,203412,395000.00,10/1/2011 0:00,present,project engineer,Bangalore,m,3/28/1988 0:00,92.8,ksseb(karnataka state board),2006,80,pu board,3716,2,B.Tech/B.E.,electronics and communication engineering,75.69,3716,1,Karnataka,2011,455,445,555,0.376059586651545,315,300,-1,-1,-1,286,-1,0.0464,-0.1232,-0.9245,-0.2902,-1.3934 +train,294767,495000.00,3/1/2012 0:00,4/1/2015 0:00,senior systems engineer,hyderabad,f,2/16/1990 0:00,91.4,cbse,2007,93,ap board,1027,2,B.Tech/B.E.,computer engineering,70.8,1027,1,Telangana,2011,475,665,605,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-0.2628,-0.1232,-1.3599,0.4148,-0.1295 +train,1266967,200000.00,11/1/2014 0:00,present,software test engineer,Bangalore,f,5/20/1991 0:00,84.96,state board,2010,56.17,state board,17168,2,B.Tech/B.E.,computer science & engineering,60.78,17168,0,Karnataka,2014,465,470,310,0.600057182338341,435,-1,-1,-1,-1,-1,-1,0.8463,1.2114,1.2396,0.1459,0.6721 +train,1122979,335000.00,5/1/2014 0:00,present,programmer analyst,Pune,m,2/7/1991 0:00,68,cbse,2009,78,cbse,5400,2,B.Tech/B.E.,information technology,63.2,5400,0,Madhya Pradesh,2013,500,555,665,0.978799292641428,615,-1,561,-1,-1,-1,-1,-0.3027,-1.9521,-0.6048,0.653,-0.0943 +train,205703,430000.00,9/1/2011 0:00,present,system engineer,Kolkata,f,12/20/1988 0:00,61,0,2006,63,0,5508,2,B.Tech/B.E.,electrical engineering,65,5508,0,Orissa,2011,465,395,515,0.824666400671332,355,400,-1,-1,-1,-1,-1,0.51,0.0328,1.3977,0.4148,0.8183 +train,583152,510000.00,9/1/2013 0:00,present,test engineer,-1,m,6/9/1992 0:00,88.76,cbse,2009,85.2,cbse,2817,1,B.Tech/B.E.,computer engineering,78.16,2817,0,Chhattisgarh,2013,615,555,765,0.930370607202691,565,-1,-1,-1,-1,-1,-1,0.1282,-0.2871,0.4711,-1.3753,-0.6692 +train,304341,315000.00,3/1/2012 0:00,present,associate software engineer,Pune,m,7/4/1989 0:00,70,nashik board,2007,72,nashik board,494,2,B.Tech/B.E.,computer engineering,55,494,1,Maharashtra,2011,435,485,565,0.670743151433127,455,-1,-1,-1,-1,-1,-1,-1.1901,-0.2793,0.2366,-0.1727,-0.2875 +train,1219113,340000.00,9/1/2014 0:00,present,qa analyst,Kolkata,m,1/5/1992 0:00,73.37,state board,2010,66.8,state board,12992,2,B.Tech/B.E.,information technology,76.8,12992,1,West Bengal,2014,385,400,570,0.23780283983757,465,-1,315,-1,-1,-1,-1,0.8463,1.7109,2.1617,2.4278,1.4386 +train,796911,600000.00,9/1/2014 0:00,present,business analyst,Bangalore,f,2/28/1991 0:00,95.6,cbse,2006,81.6,cbse,222,2,B.Tech/B.E.,computer science & engineering,88,222,0,Jharkhand,2014,650,655,795,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-0.159,1.2114,1.547,-0.7415,-0.4776 +train,1249671,155000.00,7/1/2014 0:00,present,electrical design engineer,Bangalore,m,6/18/1992 0:00,79.2,cbse,2010,67.2,cbse,11507,2,B.Tech/B.E.,electronics and electrical engineering,66.85,11507,1,Karnataka,2014,510,590,585,0.423951396376433,-1,388,-1,-1,388,-1,-1,0.7027,0.8784,0.6248,-0.6147,1.0554 +train,1058572,300000.00,2/1/2014 0:00,6/1/2014 0:00,systems engineer,Mysore,f,6/23/1989 0:00,68.6,cbse,2008,71.8,cbse,10387,2,B.Tech/B.E.,computer science & engineering,74.38,10387,0,Madhya Pradesh,2012,455,495,545,0.622642915849938,445,-1,407,-1,-1,-1,-1,0.5591,0.5454,1.0859,-1.8824,-0.0943 +train,356274,140000.00,1/1/2013 0:00,3/1/2014 0:00,software developer,Jaipur,f,1/13/1990 0:00,84.33,"board of secondary education, rajasthan",2008,80.8,central board of secondary education,2927,2,B.Tech/B.E.,computer engineering,74.78,2927,1,Rajasthan,2012,515,565,435,0.960903087163164,595,-1,-1,-1,-1,-1,-1,0.0464,1.2808,0.3817,-0.2609,0.6603 +train,1061698,315000.00,10/1/2014 0:00,present,.net developer,Chennai,m,8/9/1993 0:00,85.33,state board,2010,89,state board,8818,2,B.Tech/B.E.,electronics and communication engineering,77.07,8818,1,Telangana,2013,560,520,535,0.649389714846691,335,356,-1,-1,-1,-1,-1,0.2718,1.0449,0.4711,0.2727,1.0554 +train,1085682,80000.00,2/1/2013 0:00,3/1/2015 0:00,associate engineer,Ghaziabad,m,10/28/1990 0:00,51.6,up board,2007,52,up board,140,2,MCA,computer application,74,140,0,Uttar Pradesh,2013,510,540,510,0.744758354008939,485,-1,438,-1,-1,-1,-1,-1.8825,0.3789,0.4711,0.7798,-0.4776 +train,226847,360000.00,11/1/2011 0:00,present,software engineer,Chennai,m,3/10/1987 0:00,78.5,ssc,2004,82,intermediate board,1428,2,MCA,computer application,77,1428,1,Telangana,2011,425,425,435,0.525922584252055,415,-1,-1,-1,-1,-1,-1,0.8192,-0.4353,0.8171,-0.4078,0.0284 +train,1254777,1800000.00,1/1/2015 0:00,4/1/2015 0:00,salesforce developer,Panchkula,f,10/5/1993 0:00,81.3,cbse,2010,77,cbse,1615,2,B.Tech/B.E.,computer science & engineering,79.9,1615,0,Punjab,2015,465,425,270,0.744758354008939,415,-1,438,-1,-1,-1,-1,-0.159,1.0449,0.4711,-0.8682,0.6721 +train,741590,335000.00,7/1/2014 0:00,2/1/2015 0:00,sales executive,Pune,m,4/14/1993 0:00,70.76,state board,2010,70.33,state board,474,2,B.Tech/B.E.,electronics & telecommunications,63.5,474,1,Maharashtra,2014,500,375,295,0.694479327708463,-1,366,-1,-1,393,206,-1,-0.7335,-0.2871,0.7785,2.0475,0.2889 +train,1011018,315000.00,7/1/2014 0:00,4/1/2015 0:00,software developer,Noida,m,12/1/1992 0:00,57.5,state board,2009,59.2,state board,2412,2,B.Tech/B.E.,computer science & engineering,74.28,2412,0,Uttar Pradesh,2014,370,460,500,0.144789889482462,505,-1,284,-1,-1,-1,-1,0.99,1.0449,0.6248,0.2727,0.6721 +train,702599,180000.00,5/1/2013 0:00,6/1/2014 0:00,test engineer,Bangalore,m,5/4/1989 0:00,52,state board,2008,56,state board,1618,2,B.Tech/B.E.,information technology,70,1618,0,Madhya Pradesh,2012,380,375,370,0.23780283983757,435,-1,315,-1,-1,-1,-1,-1.4517,0.5454,0.9322,0.0192,-0.6692 +train,337764,220000.00,10/1/2012 0:00,4/1/2015 0:00,data analyst,Coimbatore,m,7/26/1988 0:00,68.67,0,2006,59.66,0,3076,2,MCA,computer application,66,3076,0,Tamil Nadu,2012,575,445,485,0.377551419424541,375,-1,-1,-1,-1,-1,-1,-3.3539,-3.8284,-2.4485,2.29493,-3.763 +train,596088,145000.00,6/1/2014 0:00,1/1/2015 0:00,quality engineer,Baddi HP,m,7/22/1991 0:00,78.8,cbse,2010,65.4,state board,44,2,B.Tech/B.E.,electronics and electrical engineering,64.9,44,0,Uttar Pradesh,2014,430,450,605,0.336185066042399,205,333,-1,-1,366,-1,-1,0.8463,-0.6201,0.9322,0.9066,0.0973 +train,927284,330000.00,8/1/2014 0:00,present,business analyst,Bangalore,f,9/27/1992 0:00,90,state board,2010,94,state board,5015,2,B.Tech/B.E.,civil engineering,86,5015,0,Andhra Pradesh,2014,500,545,485,0.536782666535172,345,-1,-1,-1,-1,-1,356,-0.4463,0.8784,1.0859,-1.2486,-0.0943 +train,248343,280000.00,2/1/2012 0:00,4/1/2014 0:00,operations analyst,Bangalore,m,8/1/1989 0:00,71,ssc,2007,83,ipe,2162,2,B.Tech/B.E.,electronics and communication engineering,58,2162,1,Telangana,2011,505,455,475,0.229481754911755,-1,266,-1,-1,-1,393,-1,-1.3025,-0.1232,-0.0933,-0.5958,-1.6662 +train,439077,310000.00,6/1/2013 0:00,present,rf engineer,Pune,m,6/10/1991 0:00,82,"bse,orissa",2008,62.7,"chse,orissa",3081,2,B.Tech/B.E.,electronics & telecommunications,71.3,3081,0,Orissa,2012,595,425,355,0.155908502722861,-1,-1,-1,-1,-1,260,-1,0.0464,0.1888,0.3817,-0.6428,-0.5245 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0:00,85.17,state board,2008,77.77,state board,1589,1,B.Tech/B.E.,computer science & engineering,64.1,1589,0,Assam,2013,545,605,825,0.842248322257836,495,-1,469,-1,-1,-1,-1,0.2718,0.8784,0.1637,0.1459,1.247 +train,668152,120000.00,2/1/2014 0:00,7/1/2014 0:00,desktop support technician,Gurgaon,m,5/3/1991 0:00,68.6,state board,2007,63.4,state board,1890,2,B.Tech/B.E.,computer science & engineering,67,1890,1,Tamil Nadu,2013,275,425,430,0.245455659999829,335,-1,-1,-1,-1,-1,-1,-0.159,0.1125,0.4711,-0.7415,0.585 +train,1042546,325000.00,2/1/2014 0:00,5/1/2014 0:00,system engineer,-1,f,4/15/1991 0:00,82,cbse,2007,65,cbse,6948,2,B.Tech/B.E.,information & communication technology,79,6948,0,West Bengal,2013,465,460,500,0.0409993103614119,445,-1,223,-1,-1,-1,-1,0.99,1.0449,1.3933,-1.1218,1.6302 +train,864091,360000.00,6/1/2014 0:00,present,software engineer,Pune,m,6/24/1990 0:00,80.2,state board,2007,74.8,state board,4504,2,B.Tech/B.E.,electronics and communication engineering,78.16,4504,0,Madhya Pradesh,2013,380,415,620,0.338786347219528,-1,292,-1,-1,-1,-1,-1,-1.0208,-0.1206,0.01,-0.2344,-0.2859 +train,543179,85000.00,5/1/2014 0:00,4/1/2015 0:00,android developer,Noida,m,3/11/1991 0:00,71,cbse,2008,74,cbse,172,2,B.Tech/B.E.,information technology,65.38,172,0,Uttar Pradesh,2013,430,400,455,0.744758354008939,525,-1,438,-1,-1,-1,-1,-0.5332,-0.1232,-0.0537,-0.6134,0.8183 +train,1115677,300000.00,2/1/2015 0:00,present,systems engineer,Mysore,f,12/11/1992 0:00,89.5,state board,2010,91,state board,15163,2,B.Tech/B.E.,computer science & engineering,73.6,15163,0,Andhra Pradesh,2015,455,505,535,0.486747008438193,395,-1,376,-1,-1,-1,-1,1.1336,0.3789,0.6248,-0.2344,-0.0943 +train,454999,110000.00,1/1/2013 0:00,12/1/2013 0:00,junior recruiter,Nalagarh,m,10/24/1990 0:00,74.18,himachal pradesh board,2008,73,himachal pradesh board,272,2,B.Tech/B.E.,electronics and communication engineering,71.19,272,0,Punjab,2012,355,485,305,0.0587928000083534,-1,200,-1,-1,-1,366,-1,-0.880999999999999,-0.7473,-1.2148,1.2374,-0.4455 +train,922200,250000.00,11/1/2014 0:00,present,software engineer,Chennai,m,4/22/1993 0:00,82.8,state board,2010,78.25,state board,1370,2,B.Tech/B.E.,electronics and communication engineering,69,1370,0,Tamil Nadu,2014,555,460,415,0.0417331957243944,375,-1,-1,-1,-1,206,-1,-0.159,1.3779,0.9322,-1.1218,0.8637 +train,641106,200000.00,11/1/2014 0:00,4/1/2015 0:00,trainee engineer,Noida,f,9/9/1990 0:00,89.2,cbse,2008,79.6,cbse,6271,2,B.Tech/B.E.,electronics and communication engineering,70,6271,0,Uttarakhand,2013,580,415,590,0.538386892985096,-1,333,-1,-1,-1,233,-1,0.5591,-0.1206,0.6248,0.0192,-0.6692 +train,1101244,100000.00,5/1/2015 0:00,present,software test engineer,Mumbai,f,6/29/1992 0:00,88.64,state board,2010,61.92,state board,10244,2,B.Tech/B.E.,electronics and electrical engineering,74.83,10244,1,Karnataka,2014,535,370,320,0.0622212912369296,255,388,-1,-1,260,-1,-1,0.4155,0.7119,0.3174,-0.7415,0.6721 +train,240990,505000.00,2/1/2012 0:00,present,senior software developer,Mangalore,m,5/24/1988 0:00,55,0,2005,69,0,4287,2,MCA,computer application,75,4287,0,Karnataka,2011,365,305,545,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.1082,0.3448,1.2525,0.7673,0.3444 +train,1094320,200000.00,5/1/2014 0:00,present,research engineer,Coimbatore,m,11/21/1992 0:00,92,state board,2010,89,state board,7282,2,B.Tech/B.E.,mechanical engineering,78,7282,0,Tamil Nadu,2014,430,530,450,0.725984147969479,-1,-1,-1,438,-1,-1,-1,1.4208,-1.2861,-0.9122,-0.7415,0.0973 +train,1230312,155000.00,10/1/2014 0:00,present,engineer,Kolkata,f,8/2/1990 0:00,68.25,state board,2009,61,state board,12992,2,B.Tech/B.E.,electronics & telecommunications,73.95,12992,1,West Bengal,2014,455,530,655,0.943272157866555,305,452,-1,-1,-1,-1,-1,0.5591,0.9117,0.01,-0.3612,0.7941 +train,594659,100000.00,1/1/2014 0:00,present,mechanical engineer,"Mettur, Tamil Nadu ",m,12/20/1990 0:00,90.5,matriculation,2009,94.9,matriculation,566,2,B.Tech/B.E.,mechanical engineering,78.25,566,0,Tamil Nadu,2013,590,545,400,0.414337426422751,-1,-1,-1,366,-1,-1,-1,-0.4463,-0.2871,0.1637,0.1459,-0.4776 +train,652269,180000.00,12/1/2013 0:00,5/1/2014 0:00,lecturer,Chennai,m,12/27/1991 0:00,76,icse,2009,74,cbse,13375,2,B.Tech/B.E.,civil engineering,77,13375,0,Tamil Nadu,2013,475,500,500,0.839686084018748,-1,-1,-1,-1,-1,-1,433,-0.4463,0.2124,-1.527,-0.4879,-0.6692 +train,1171244,100000.00,6/1/2014 0:00,present,technical support specialist,Agra,m,3/16/1990 0:00,73,cbse,2009,68.16,cbse,137,2,B.Tech/B.E.,information technology,66.26,137,0,Uttar Pradesh,2013,510,495,560,0.991230625262871,575,-1,592,-1,-1,-1,-1,-0.3027,0.0459,-0.9122,-2.0092,-0.4776 +train,520439,180000.00,9/1/2014 0:00,2/1/2015 0:00,rf engineer,bengaluru,m,2/13/1991 0:00,66,maharashtra satate board,2009,65,maharashtra satate board,1871,2,B.Tech/B.E.,electronics & telecommunications,57,1871,0,Maharashtra,2013,250,425,415,0.538386892985096,345,333,-1,-1,-1,286,-1,-0.5719,-1.3713,-0.8157,-0.5253,-1.8673 +train,38032,850000.00,7/1/2010 0:00,present,assistant manager,Durgapur,m,12/21/1985 0:00,89.4,icse,2005,91.3,andhra pradesh board of secondary education,11157,1,B.Tech/B.E.,mechanical engineering,78.2,11157,0,Jharkhand,2010,405,435,705,0.755375120895548,465,-1,-1,446,-1,-1,-1,0.2009,0.0328,0.2366,-0.8778,0.1864 +train,344572,470000.00,10/1/2012 0:00,5/1/2015 0:00,system engineer,Hyderabad,m,2/23/1991 0:00,88,0,2008,78,0,124,2,B.Tech/B.E.,computer engineering,80,124,0,Orissa,2012,315,455,635,-1,-1,-1,-1,-1,-1,-1,-1,-1.6538,0.3838,0.0552,1.23732999999999,0.0284 +train,1088319,610000.00,7/1/2014 0:00,4/1/2015 0:00,associate software engineer,Hyderabad,m,10/4/1990 0:00,86,cbse,2009,81.6,cbse,13386,2,B.Tech/B.E.,computer science & engineering,60,13386,1,Rajasthan,2014,805,580,620,0.144789889482462,445,-1,284,-1,-1,-1,-1,0.2718,0.8784,0.1637,-1.2486,1.0554 +train,1169576,200000.00,10/1/2013 0:00,3/1/2015 0:00,embedded software engineer,-1,m,7/29/1991 0:00,69,state board,2009,87.2,state board,7946,2,B.Tech/B.E.,electronics and communication engineering,61,7946,0,Andhra Pradesh,2013,360,435,405,-1,-1,-1,-1,-1,-1,-1,-1,-0.8772,-1.6191,-0.9122,1.0333,-2.7769 +train,359490,120000.00,8/1/2012 0:00,3/1/2014 0:00,software engineer,pondi,m,2/14/1990 0:00,68,sslc,2009,75,tamil nadu polytechnic,1347,2,B.Tech/B.E.,computer engineering,68.9,1347,0,Union Territory,2012,315,425,325,0.0745462652358558,255,-1,-1,-1,-1,-1,-1,-1.5765,0.5008,0.8171,0.7086,0.0284 +train,196470,440000.00,9/1/2011 0:00,present,systems engineer,Pune,m,1/20/1987 0:00,68.6,cbse,2004,65.6,cbse,115,2,MCA,computer application,69.71,115,0,Punjab,2011,515,565,625,0.600057182338341,435,-1,-1,-1,-1,-1,-1,1.1283,0.0328,-0.1988,-1.2303,0.9763 +train,633578,180000.00,9/1/2014 0:00,present,it executive,Greater Noida,m,4/15/1991 0:00,78.2,cbse,2009,63.6,cbse,1982,2,B.Tech/B.E.,information technology,69.43,1982,0,Uttar Pradesh,2013,545,570,665,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.2718,0.5454,0.3174,-0.8682,0.6721 +train,1194943,200000.00,11/1/2014 0:00,4/1/2015 0:00,associate software engineer,Noida,m,7/7/1992 0:00,71.04,icse,2010,81.33,cbse,8840,2,B.Tech/B.E.,computer science & engineering,74.04,8840,0,Uttar Pradesh,2014,335,540,415,0.622642915849938,435,-1,407,-1,-1,-1,-1,1.2772,0.2124,0.3174,2.1743,1.0554 +train,431706,150000.00,11/1/2012 0:00,9/1/2014 0:00,software engineer,Greater Noida,m,6/10/1990 0:00,58,up board,2006,47.2,up board,350,2,MCA,computer application,75,350,0,Uttar Pradesh,2012,395,404,385,0.864685413370085,525,-1,-1,-1,-1,-1,-1,1.1283,1.4368,1.3977,-0.1727,0.1864 +train,814349,120000.00,4/1/2015 0:00,present,it recruiter,Noida,m,2/8/1991 0:00,68,cbse,2010,67,cbse,13210,2,B.Tech/B.E.,electronics and communication engineering,61.72,13210,0,Uttar Pradesh,2014,450,465,470,0.881620069530177,-1,420,-1,-1,-1,-1,-1,0.4155,0.5454,-0.4511,-1.6289,0.8637 +train,47667,845000.00,8/1/2010 0:00,present,senior software engineer,Mumbai,m,5/12/1988 0:00,75.46,maharashtra state board mumbai divisional board,2005,53.83,maharashtra state board mumbai divisional board,438,1,B.Tech/B.E.,information technology,56.64,438,1,Maharashtra,2010,575,585,625,0.884122511593735,535,-1,-1,-1,-1,-1,-1,0.6646,1.2808,0.8171,-0.6428,-0.1295 +train,217144,390000.00,12/1/2011 0:00,6/1/2015 0:00,programmer analyst,Bangalore,m,1/25/1989 0:00,77,cbse,2006,62,cbse,6434,2,B.Tech/B.E.,computer engineering,63.5,6434,0,Uttarakhand,2011,495,505,515,0.563267823666597,425,-1,-1,-1,-1,-1,-1,0.8192,0.3448,0.9623,-0.1727,0.5024 +train,50601,300000.00,2/1/2010 0:00,5/1/2013 0:00,software engineer,Bangalore,m,7/22/1982 0:00,64.43,karnataka secondary education board,2002,47.83,department of pre university education,274,2,MCA,computer application,78.83,274,1,Karnataka,2009,365,505,325,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.7264,0.1888,-0.7794,-0.5253,-0.4455 +train,345100,200000.00,5/1/2013 0:00,5/1/2015 0:00,technical support engineer,Ghaziabad,f,8/28/1990 0:00,76.4,cbse,2008,65.5,cbse,172,2,B.Tech/B.E.,electronics and communication engineering,59.94,172,0,Uttar Pradesh,2012,485,324,525,0.376059586651545,-1,300,-1,-1,-1,340,-1,0.3941,1.2808,1.3977,2.47123,-0.1295 +train,914037,180000.00,10/1/2014 0:00,1/1/2015 0:00,asp.net developer,-1,m,12/26/1987 0:00,57,state board,2005,58,state board,51,2,MCA,computer application,74.8,51,0,Uttar Pradesh,2014,520,595,515,0.842248322257836,605,-1,469,-1,-1,-1,-1,-0.8772,-0.7866,-1.9881,2.6814,-0.2859 +train,519873,150000.00,6/1/2012 0:00,7/1/2013 0:00,network engineer,Bangalore,m,4/5/1991 0:00,82.24,kseeb,2008,62.5,karnataka pu board,129,2,M.Tech./M.E.,information technology,73.1,129,0,Tamil Nadu,2015,495,345,375,0.415524556422033,-1,400,-1,-1,-1,233,-1,0.626,0.8128,0.3817,-1.0541,0.3444 +train,629733,300000.00,1/1/2014 0:00,present,electrical engineer,Chennai,m,1/27/1992 0:00,90.06,state board,2012,92.75,state board,526,2,B.Tech/B.E.,electronics and electrical engineering,79.95,526,0,Tamil Nadu,2013,475,520,605,0.243208656725607,385,-1,-1,-1,340,-1,-1,-0.7335,0.2124,1.3933,2.0475,1.247 +train,344277,240000.00,10/1/2013 0:00,6/1/2014 0:00,research associate,New Delhi,m,1/1/1991 0:00,85.2,cbse,2008,74.6,cbse,48,1,B.Tech/B.E.,computer engineering,65.65,48,1,Delhi,2012,665,565,565,0.987207085890868,645,-1,-1,-1,-1,-1,-1,-0.880999999999999,0.8518,0.5994,-0.29027,-0.2875 +train,1232025,120000.00,6/1/2014 0:00,1/1/2015 0:00,web designer,-1,f,4/18/1993 0:00,75,state board,2010,67,state board,12887,2,B.Tech/B.E.,computer science & engineering,67,12887,1,Telangana,2014,535,485,465,-1,-1,-1,-1,-1,-1,-1,-1,1.1336,1.0449,1.0859,-2.136,0.8637 +train,281946,150000.00,6/1/2011 0:00,3/1/2012 0:00,maintenance engineer,New Delhi,m,8/7/1986 0:00,65.16,up board,2007,63,up board,4450,2,B.Tech/B.E.,electronics & instrumentation eng,62.02,4450,0,Uttar Pradesh,2011,495,535,544,0.694479327708463,-1,366,-1,-1,-1,313,-1,-0.1082,1.1248,-1.3599,-0.5253,0.3444 +train,345996,400000.00,2/1/2013 0:00,4/1/2015 0:00,associate developer,-1,m,1/30/1990 0:00,83.6,"dav public school,hehal",2007,74.8,"dav public school,hehal",6659,2,B.Tech/B.E.,computer engineering,88.6,6659,1,Tamil Nadu,2012,645,615,445,0.819416529835888,505,-1,-1,-1,-1,-1,-1,-0.7264,0.0328,-1.0697,0.17983,-0.0506 +train,133428,360000.00,11/1/2010 0:00,5/1/2012 0:00,java software engineer,Bangalore,m,2/15/1988 0:00,64,0,2004,53,0,6953,2,B.Tech/B.E.,computer engineering,74.5,6953,0,West Bengal,2010,465,625,625,0.670743151433127,455,-1,-1,-1,-1,-1,-1,1.7465,0.8128,1.2525,-0.4078,0.6603 +train,730091,80000.00,5/1/2014 0:00,4/1/2015 0:00,network engineer,Kolkata,f,7/5/1989 0:00,67.12,wbbse,2008,56.8,wbbhse,11153,2,B.Tech/B.E.,electronics and communication engineering,72.8,11153,1,West Bengal,2013,440,410,135,0.253028370715546,-1,-1,-1,-1,-1,286,-1,0.7027,0.8784,0.3174,-0.1076,1.0554 +train,298308,430000.00,2/1/2013 0:00,present,software engineer,Bangalore,m,10/1/1990 0:00,87.2,state board,2008,79.8,state board,7586,2,B.Tech/B.E.,information technology,82.6,7586,0,Tamil Nadu,2012,605,495,485,0.377551419424541,375,-1,-1,-1,-1,-1,-1,-1.3447,-1.2153,-1.3599,0.7673,-0.9194 +train,1251123,95000.00,10/1/2014 0:00,present,salesforce developer,Nagpur ,f,2/3/1993 0:00,87,state board,2010,78,state board,11548,2,B.Tech/B.E.,computer science & engineering,71.5,11548,0,Maharashtra,2014,580,435,285,0.486747008438193,365,-1,376,-1,-1,-1,-1,-1.0208,-0.4536,-1.0659,0.3995,-0.6692 +train,938300,325000.00,6/1/2014 0:00,present,system engineer,Pune,m,8/12/1991 0:00,92,cbse,2009,88.8,cbse,6874,2,B.Tech/B.E.,computer science & engineering,73,6874,0,Uttarakhand,2014,640,645,690,0.356536487724475,535,-1,346,-1,-1,-1,-1,-0.159,0.3789,-1.527,0.2727,0.8637 +train,1097187,300000.00,4/1/2014 0:00,4/1/2015 0:00,programmer analyst,Chennai,m,1/22/1992 0:00,86.5,state board,2010,69.16,0,9837,2,B.Tech/B.E.,electronics and communication engineering,67.81,9837,1,Telangana,2013,395,615,560,-1,325,-1,407,-1,-1,-1,-1,1.9953,1.7109,1.7007,-2.136,1.6302 +train,115560,570000.00,3/1/2011 0:00,present,system engineer,Chennai,m,5/6/1989 0:00,77.4,0,2006,81.6,0,3629,2,B.Tech/B.E.,computer engineering,62,3629,0,Andhra Pradesh,2010,385,595,454,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-1.0355,0.5008,1.2525,0.5323,-0.1295 +train,1098849,180000.00,6/1/2013 0:00,2/1/2014 0:00,software developer,Surat,m,11/5/1991 0:00,75.85,state board,2009,77.2,state board,992,2,B.Tech/B.E.,information technology,80,992,1,Gujarat,2013,525,530,520,0.979521744319216,625,-1,-1,-1,-1,-1,-1,-0.159,0.8784,1.0859,-0.995,1.0554 +train,407711,450000.00,9/1/2012 0:00,4/1/2015 0:00,assistant engineer,Mumbai,m,5/2/1990 0:00,74,0,2007,66,0,3801,2,B.Tech/B.E.,computer engineering,80.07,3801,0,Karnataka,2012,595,515,495,0.735795709224656,475,-1,-1,-1,-1,-1,-1,1.4374,0.9688,-0.7068,0.0623,0.1864 +train,1011513,120000.00,2/1/2013 0:00,10/1/2014 0:00,system engineer,Jamshedpur,m,4/8/1991 0:00,80.2,cbse,2008,63.44,state board,14758,2,B.Tech/B.E.,computer science & engineering,74,14758,0,Orissa,2013,405,410,560,0.765673581234011,485,-1,-1,-1,-1,-1,-1,0.5591,0.3789,0.4711,-0.4879,0.4805 +train,61461,130000.00,5/1/2011 0:00,9/1/2012 0:00,assistant electrical engineer,Kurnool,m,8/10/1988 0:00,78,ssc,2006,83.7,board of intermediate,7940,2,B.Tech/B.E.,electronics and electrical engineering,61.35,7940,0,Andhra Pradesh,2010,375,365,445,0.376059586651545,-1,300,-1,-1,-1,-1,-1,-0.1082,0.8128,1.3977,0.0623,0.6603 +train,359557,400000.00,8/1/2012 0:00,present,product engineer,pune,m,7/28/1990 0:00,75.2,cbse,2007,71.2,cbse,8641,2,B.Tech/B.E.,electronics & telecommunications,56,8641,1,Maharashtra,2012,715,675,615,0.910770164246022,-1,433,-1,-1,-1,313,-1,1.2056,1.2808,-0.1988,-1.2303,-0.7615 +train,242100,35000.00,3/1/2012 0:00,present,systems engineer,Noida,m,11/24/1989 0:00,88,icse,2007,80.4,cbse,6884,2,B.Tech/B.E.,computer engineering,87.65,6884,0,West Bengal,2011,565,645,615,0.996570552064879,695,-1,-1,-1,-1,-1,-1,0.2009,0.0328,-0.9245,0.2973,-0.1295 +train,345685,200000.00,6/1/2014 0:00,present,software quality assurance tester,Bangalore,f,6/1/1990 0:00,75,bihar board,2008,74,cbse,6659,2,B.Tech/B.E.,electronics & instrumentation eng,88,6659,1,Tamil Nadu,2012,575,515,465,0.538386892985096,405,333,315,-1,-1,-1,-1,-0.5899,-0.1206,0.9322,0.3995,-0.4776 +train,1230310,240000.00,12/1/2014 0:00,present,software engineer,Kolkata,m,10/24/1991 0:00,76.7,icse,2010,85.5,icse,17615,2,B.Tech/B.E.,information technology,81,17615,1,West Bengal,2014,595,375,370,0.486747008438193,475,-1,376,-1,-1,-1,-1,-0.7335,0.0459,-0.1437,-0.4879,-0.8608 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0:00,63,state board,2009,60,state board,8700,2,B.Tech/B.E.,electronics and communication engineering,67.8,8700,0,Tamil Nadu,2013,405,555,355,-1,325,-1,-1,-1,-1,-1,-1,-0.3027,-0.7866,0.3174,0.1459,-1.6273 +train,1044367,300000.00,4/1/2014 0:00,8/1/2014 0:00,database developer,Hyderabad,m,5/27/1993 0:00,86,state board,2010,85.4,state board,14382,2,B.Tech/B.E.,electronics and electrical engineering,75.3,14382,1,Telangana,2014,755,520,655,0.0622212912369296,405,-1,-1,-1,260,-1,-1,0.1282,0.8784,-1.3733,0.0192,0.2889 +train,270455,430000.00,2/1/2011 0:00,4/1/2015 0:00,software test engineer,Pune,m,10/9/1988 0:00,83,mpbse,2006,82.5,mpbse,10387,2,B.Tech/B.E.,computer engineering,69.1,10387,0,Madhya Pradesh,2010,345,545,585,0.843123726665742,515,-1,-1,-1,-1,-1,-1,-0.7264,-0.2793,0.0914,-0.5253,0.5024 +train,813205,325000.00,2/1/2014 0:00,4/1/2015 0:00,systems engineer,Chennai,m,7/31/1991 0:00,74.2,cbse,2009,61,cbse,52,2,B.Tech/B.E.,computer science & engineering,71,52,0,Uttar 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board,1019,2,B.Tech/B.E.,computer engineering,74,1019,1,Tamil Nadu,2011,525,475,385,0.819416529835888,505,-1,-1,-1,-1,-1,-1,0.3555,0.9688,-0.4891,0.0623,0.9763 +train,914228,145000.00,9/1/2014 0:00,1/1/2015 0:00,telecom engineer,Noida,f,1/12/1992 0:00,82,state board,2010,76.6,cbse,14351,2,B.Tech/B.E.,electronics and communication engineering,82,14351,0,Punjab,2014,520,475,560,0.493596387301038,-1,324,-1,-1,-1,313,-1,0.7027,0.2124,-1.6807,0.7798,0.0973 +train,1081706,570000.00,8/1/2014 0:00,present,technical support engineer,Bangalore,m,8/26/1992 0:00,78.2,cbse,2010,86.8,"board of intermediate education, ap",4752,2,B.Tech/B.E.,electronics & telecommunications,70,4752,0,Andhra Pradesh,2014,665,655,680,0.649389714846691,-1,356,-1,-1,-1,356,-1,-0.159,0.8784,0.4711,-0.1076,0.4805 +train,965642,350000.00,8/1/2014 0:00,4/1/2015 0:00,software developer,Bangalore,m,1/28/1993 0:00,94,state board,2010,84,state board,8823,2,B.Tech/B.E.,computer science & engineering,80,8823,0,Tamil 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engineering,62,5420,0,Rajasthan,2013,335,375,310,0.21678548596901,325,-1,-1,-1,-1,-1,-1,-0.4463,0.5454,0.9322,1.1601,0.2889 +train,1094191,300000.00,9/1/2014 0:00,present,software engineer,Noida,f,3/5/1993 0:00,88.8,cbse,2010,80,cbse,12737,2,B.Tech/B.E.,computer science & engineering,76,12737,1,Rajasthan,2014,720,530,415,0.486747008438193,435,-1,376,-1,-1,-1,-1,0.4155,-0.2871,-0.4511,-0.8682,-0.6692 +train,415282,215000.00,3/1/2013 0:00,4/1/2014 0:00,project manager,Bhubaneswar,m,6/15/1991 0:00,86,hsce,2008,68.69,chse,5818,2,B.Tech/B.E.,computer science & engineering,82.5,5818,0,Orissa,2012,445,475,485,0.563267823666597,425,-1,-1,-1,-1,-1,-1,0.626,0.3448,-0.4891,0.3561,-1.2354 +train,52581,180000.00,6/1/2009 0:00,8/1/2010 0:00,software engineer,Bangalore,m,6/1/1987 0:00,65.5,karnataka secondary education,2006,69.5,"department of technical education, bangalore",356,2,B.Tech/B.E.,information technology,56.7,356,1,Karnataka,2009,405,355,295,0.276047228046856,345,-1,-1,-1,-1,-1,-1,-0.880999999999999,0.5008,-0.1988,0.0623,0.9763 +train,707108,485000.00,9/1/2013 0:00,present,software engineer,noida,m,4/24/1992 0:00,92.3,state board,2009,95,state board,13741,2,B.Tech/B.E.,electronics and communication engineering,80,13741,0,Andhra Pradesh,2013,465,570,680,0.694479327708463,485,366,-1,-1,-1,-1,-1,1.1336,1.5293,0.3034,-1.8824,0.9404 +train,322657,430000.00,8/1/2013 0:00,4/1/2015 0:00,quality assurance test engineer,Hyderabad,m,6/20/1991 0:00,81,"board of secondary education,odisha",2008,63,"chse,odisha",3427,2,B.Tech/B.E.,electronics and communication engineering,74.44,3427,0,Orissa,2012,545,475,555,0.124502074009537,-1,233,-1,-1,-1,-1,-1,0.0464,0.2668,0.8171,1.58992999999999,-0.2875 +train,108902,85000.00,8/1/2012 0:00,5/1/2013 0:00,software engineer,Pune,m,1/21/1987 0:00,50.66,maharashtra nasik board,2004,55.33,maharashtra nasik board,331,2,MCA,computer 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council of higher secondary examination (wbchse),253,2,B.Tech/B.E.,information technology,8.88,253,1,West Bengal,2011,445,495,625,0.901489571371033,545,-1,-1,-1,-1,-1,-1,-0.4173,-1.6833,0.5269,-1.7004,-0.9194 +train,1081172,145000.00,10/1/2014 0:00,present,field service engineer,Bhubaneswar,m,9/13/1991 0:00,67,cbse,2010,58,cbse,7814,2,B.Tech/B.E.,information technology,84,7814,0,Orissa,2014,560,470,450,0.744758354008939,285,-1,438,-1,-1,-1,-1,-0.7335,0.3789,0.7785,0.7798,0.8637 +train,794381,325000.00,7/1/2014 0:00,7/1/2015 0:00,systems engineer,Chandigarh,m,12/17/1991 0:00,89,cbse,2010,85.2,cbse,8346,2,B.Tech/B.E.,mechanical engineering,68.76,8346,0,Uttar Pradesh,0,695,655,680,0.755375120895548,-1,-1,-1,446,-1,-1,-1,1.1336,0.3789,-0.2974,-0.3612,-1.244 +train,318988,455000.00,11/1/2012 0:00,present,engineer,Bangalore,m,8/22/1990 0:00,60,icse,2008,88,ipe,5071,2,B.Tech/B.E.,electronics & instrumentation eng,69,5071,0,Andhra Pradesh,2012,375,315,375,0.694479327708463,-1,366,-1,-1,-1,-1,-1,-1.6538,0.2668,0.4906,1.58992999999999,-0.1295 +train,110817,200000.00,3/1/2010 0:00,3/1/2011 0:00,get,Hyderabad,m,5/15/1989 0:00,80,ssc,2007,74.53,sbtet,964,2,B.Tech/B.E.,electronics and electrical engineering,68,964,1,Telangana,2010,385,345,425,0.229481754911755,275,266,-1,-1,-1,-1,-1,-0.4173,0.3448,0.3817,-0.6428,0.9763 +train,216031,130000.00,12/1/2011 0:00,1/1/2014 0:00,lecturer,GREATER NOIDA,m,9/9/1990 0:00,70.33,upboard,2006,72,upboard,350,2,B.Tech/B.E.,electronics and electrical engineering,67.46,350,0,Uttar Pradesh,2011,305,395,404,0.0587928000083534,315,200,-1,-1,-1,286,-1,0.8192,-1.0593,0.3817,1.3549,1.4502 +train,272353,400000.00,3/1/2012 0:00,present,project engineer,Bangalore,m,6/14/1988 0:00,65,uttar pradesh board,2006,76.6,uttar pradesh board,13808,2,B.Tech/B.E.,computer science & engineering,72,13808,0,Uttar 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Pradesh,2014,395,590,535,0.943272157866555,375,452,-1,-1,-1,-1,-1,-1.4517,-0.4536,0.1637,-0.1076,0.2889 +train,1034791,315000.00,2/1/2014 0:00,4/1/2015 0:00,systems engineer,Pune,m,11/16/1990 0:00,77.8,cbse,2009,78,cbse,14019,2,B.Tech/B.E.,electronics and communication engineering,76,14019,0,Haryana,2013,640,520,570,0.112139438207403,-1,228,-1,-1,-1,-1,-1,1.5644,0.8784,-0.9122,-2.643,-1.8189 +train,1065846,400000.00,4/1/2014 0:00,present,manufacturing engineer,gurgaon,m,3/24/1993 0:00,77.8,cbse,2010,69,cbse,12374,2,B.Tech/B.E.,electrical engineering,71.7,12374,0,Punjab,2014,475,510,475,0.193768441980019,-1,292,-1,-1,324,-1,-1,-0.4463,0.0459,0.7785,0.3995,0.2889 +train,78728,240000.00,7/1/2010 0:00,1/1/2011 0:00,rf engineer,-1,m,2/21/1986 0:00,53.6,up board,2002,61.2,up board,1920,2,B.Tech/B.E.,electronics & telecommunications,65.24,1920,0,Uttar Pradesh,2010,385,565,525,0.538386892985096,415,333,-1,-1,-1,-1,-1,-0.1082,1.4368,1.2525,-1.3478,1.2923 +train,677265,350000.00,12/1/2013 0:00,present,software engineer,Navi Mumbai,m,7/2/1991 0:00,80,cbse,2009,76.4,cbse,457,2,B.Tech/B.E.,electronics and communication engineering,72.8,457,0,Rajasthan,2013,685,555,650,0.694479327708463,-1,366,-1,-1,-1,-1,-1,0.4155,0.3789,-1.2196,0.9066,0.4805 +train,1106216,325000.00,5/1/2014 0:00,present,ios developer,-1,m,1/15/1992 0:00,76.6,cbse,2010,72.8,cbse,10185,2,B.Tech/B.E.,computer science & engineering,76,10185,0,Haryana,2014,500,530,620,0.998966943874751,735,-1,-1,-1,-1,-1,-1,-0.4463,-2.7846,-1.527,0.3995,-2.0105 +train,894646,205000.00,9/1/2014 0:00,11/1/2015 0:00,sales executive,Hyderabad,m,5/12/1993 0:00,85,state board,2010,76.7,state board,14820,2,B.Tech/B.E.,mechanical engineering,67.66,14820,0,Andhra Pradesh,2014,520,350,325,0.459015840492937,-1,-1,-1,376,-1,-1,-1,0.8463,0.0459,-1.9881,0.7798,1.6302 +train,329688,480000.00,7/1/2012 0:00,1/1/2015 0:00,system engineer,Mumbai,m,4/21/1991 0:00,91,0,2008,79,0,253,2,B.Tech/B.E.,computer engineering,76.4,253,1,West 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0:00,75,cbse,2010,81,state board,4913,2,B.Tech/B.E.,computer science & engineering,67,4913,0,Karnataka,2014,560,410,465,0.622642915849938,445,-1,407,-1,-1,-1,-1,0.4155,-0.7866,-0.2974,0.2727,0.0973 +train,421679,120000.00,6/1/2012 0:00,5/1/2013 0:00,assistant software engineer,Ghaziabad,m,7/3/1989 0:00,62.8,up board,2006,60,up board,79,2,B.Tech/B.E.,computer science & engineering,70.26,79,0,Uttar Pradesh,2012,345,455,554,0.21678548596901,325,-1,-1,-1,-1,-1,-1,0.2009,-0.6693,0.2729,1.2374,-0.4455 +train,983233,325000.00,4/1/2013 0:00,present,programmer analyst,New Delhi,m,9/24/1991 0:00,78,cbse,2009,81.4,cbse,378,2,B.Tech/B.E.,electronics and communication engineering,63.1,378,0,Haryana,2013,545,505,425,-1,515,-1,-1,-1,-1,-1,-1,1.7081,0.8784,1.3933,-1.1218,1.247 +train,626764,350000.00,11/1/2013 0:00,present,web application developer,Noida,f,2/14/1992 0:00,90,cbse,2009,84,cbse,7626,2,B.Tech/B.E.,information technology,72.48,7626,0,Uttar 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0:00,67.06,state board,2008,70.67,state board,13271,2,B.Tech/B.E.,computer engineering,55.5,13271,1,Maharashtra,2012,440,440,385,0.144789889482462,435,-1,284,-1,-1,-1,-1,1.1336,-0.2871,-0.1437,0.1459,0.2889 +train,1059888,500000.00,8/1/2014 0:00,present,software engineer,Chennai,m,6/4/1993 0:00,94,state board,2010,89.7,state board,13668,2,B.Tech/B.E.,computer science & engineering,94,13668,1,Tamil Nadu,2014,685,615,775,0.974396112538398,615,-1,-1,-1,-1,-1,-1,0.5591,0.5454,-0.6048,0.5262,0.0973 +train,65300,480000.00,3/1/2011 0:00,present,systems engineer,Bangalore,m,10/8/1988 0:00,82.24,sslc,2006,78,pu board karnataka,545,2,B.Tech/B.E.,computer engineering,68,545,1,Karnataka,2010,415,265,335,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.2628,0.8128,0.9623,0.4148,-0.2875 +train,606741,240000.00,5/1/2014 0:00,3/1/2015 0:00,.net developer,Bhilai,f,10/14/1991 0:00,87.2,state board,2009,69.16,state board,356,2,B.Tech/B.E.,information science 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0:00,6/1/2013 0:00,client services associate,New Delhi,m,12/27/1989 0:00,62,cbse,2006,58,cbse,10932,2,B.Tech/B.E.,electronics and communication engineering,59,10932,0,Uttar Pradesh,2012,475,375,325,0.229481754911755,-1,266,-1,-1,-1,260,-1,-0.2628,0.5008,0.2729,0.41483,0.3444 +train,239925,450000.00,11/1/2011 0:00,11/1/2014 0:00,senior software engineer,Bangalore,f,8/23/1989 0:00,95.86,0,2007,87,0,1866,2,B.Tech/B.E.,information technology,78.27,1866,1,Karnataka,2011,635,495,525,0.974396112538398,615,-1,-1,-1,-1,-1,-1,0.6646,0.3448,-1.0697,-2.0529,-0.1295 +train,1266586,100000.00,3/1/2014 0:00,8/1/2014 0:00,production engineer,Hyderabad,m,1/24/1992 0:00,82.3,state board,2009,84.2,state board,2899,2,B.Tech/B.E.,electronics and electrical engineering,75.6,2899,0,Telangana,2013,475,425,380,0.684565067658204,335,-1,-1,-1,452,-1,-1,0.8463,-0.6201,-0.1437,-1.3753,-1.244 +train,723781,400000.00,8/1/2013 0:00,present,systems analyst,Bangalore,m,12/13/1991 0:00,80.8,state board,2009,89,state board,7000,2,B.Tech/B.E.,electronics and communication engineering,82,7000,1,Karnataka,2013,475,390,435,0.380091833171688,465,-1,-1,-1,-1,313,-1,-0.3027,-0.1206,0.01,0.0192,-2.0105 +train,944290,200000.00,1/1/2014 0:00,4/1/2015 0:00,qa analyst,Chennai,f,7/23/1991 0:00,83,state board,2009,76,state board,3816,2,B.Tech/B.E.,electronics and electrical engineering,75,3816,1,Tamil Nadu,2013,625,340,250,0.115022725743068,365,-1,346,-1,292,-1,-1,0.8463,0.5454,-1.0659,-1.2486,-0.0943 +train,264004,220000.00,9/1/2011 0:00,7/1/2013 0:00,software engineer,Noida,m,9/26/1988 0:00,73.4,central board of secondary education,2006,78.8,central board of secondary education,2513,2,B.Tech/B.E.,computer engineering,64.23,2513,0,Rajasthan,2011,325,495,545,0.819416529835888,505,-1,-1,-1,-1,-1,-1,-1.3447,0.6568,0.5269,0.1798,0.3444 +train,391977,225000.00,5/1/2013 0:00,8/1/2013 0:00,catalog associate,Chennai,m,7/25/1990 0:00,76.2,cbse,2008,72.8,cbse,3944,2,B.Tech/B.E.,electronics and electrical engineering,73.03,3944,1,Tamil Nadu,2012,585,555,545,0.376059586651545,495,300,-1,-1,-1,-1,-1,-0.4173,0.1888,-0.6343,-1.2303,0.5419 +train,328621,430000.00,12/1/2012 0:00,present,system engineer,Bangalore,m,7/30/1990 0:00,89.12,0,2008,74.33,0,1866,2,B.Tech/B.E.,computer engineering,77.89,1866,1,Karnataka,2012,505,585,645,0.990008756723898,655,-1,-1,-1,-1,-1,-1,0.9737,1.5538,-1.0334,-1.58287,-0.2875 +train,133458,150000.00,10/1/2010 0:00,12/1/2011 0:00,maintenance supervisor,Kolkata,m,6/5/1986 0:00,64,gyan bharati school,2004,70,dav public school,6953,2,B.Tech/B.E.,electrical engineering,66.7,6953,0,West Bengal,2010,465,195,555,0.960603251997053,235,466,-1,-1,-1,-1,-1,-2.272,-2.7754,-1.6502,0.4148,-2.3412 +train,320764,375000.00,2/1/2013 0:00,present,system engineer,Pune,f,5/25/1991 0:00,89,state,2008,97.6,state,5015,2,B.Tech/B.E.,computer engineering,80,5015,0,Andhra Pradesh,2012,505,495,525,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.1623,0.8128,0.2366,-0.0846,-0.7615 +train,810018,180000.00,8/1/2014 0:00,2/1/2015 0:00,data analyst,Noida,m,9/21/1992 0:00,63,icse,2010,62,cbse,350,2,B.Tech/B.E.,information technology,62.44,350,0,Uttar Pradesh,2014,380,510,515,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-1.4517,-1.2861,-0.1437,1.1601,-1.4356 +train,353442,565000.00,7/1/2014 0:00,present,r&d engineer,-1,m,9/14/1990 0:00,91,karnataka state board,2008,84.33,"pre university board, karnataka",855,2,M.Tech./M.E.,computer networking,70.13,855,1,Karnataka,2015,605,505,545,-1,435,500,-1,-1,-1,-1,-1,-0.6491,0.3448,0.0914,-0.349,-1.5513 +train,36232,670000.00,7/1/2010 0:00,4/1/2015 0:00,senior systems engineer,Bangalore,m,7/22/1987 0:00,91.2,cbse,2005,81.2,cbse,64,2,B.Tech/B.E.,computer engineering,72.5,64,0,Uttar Pradesh,2010,595,565,495,0.884122511593735,535,-1,-1,-1,-1,-1,-1,0.0464,0.6568,0.5269,-0.6428,-0.9194 +train,543099,325000.00,10/1/2013 0:00,4/1/2015 0:00,business analyst,Noida,f,7/3/1991 0:00,87,cbse,2009,80.5,cbse,12666,2,B.Tech/B.E.,electronics and communication engineering,70,12666,0,Uttar Pradesh,2013,485,475,235,0.376059586651545,-1,300,-1,-1,-1,-1,-1,-0.1082,1.4368,0.672,0.4148,1.0158 +train,327206,350000.00,7/1/2013 0:00,present,software engineer,Navi Mumbai,m,4/7/1988 0:00,61.6,maharashtra state board,2006,57.83,maharashtra state board,6196,2,B.Tech/B.E.,computer engineering,49.07,6196,0,Maharashtra,2013,655,425,555,0.635978756456794,445,-1,-1,-1,-1,-1,-1,-1.2287,-0.2793,-0.4891,-0.08457,-0.1295 +train,1161589,420000.00,2/1/2014 0:00,4/1/2015 0:00,production engineer,Bahadurgarh,m,7/27/1993 0:00,78.67,state board,2009,73.6,cbse,66,2,B.Tech/B.E.,mechanical engineering,61.42,66,0,Uttar Pradesh,2014,685,435,560,0.59828069148683,-1,-1,-1,407,-1,-1,-1,-0.5899,-0.2871,-0.8703,0.9066,-0.2511 +train,336785,365000.00,4/1/2013 0:00,present,programmer analyst,Chennai,m,1/15/1991 0:00,92.09,matriculation,2008,93.41,state board,3076,2,B.Tech/B.E.,electronics and communication engineering,80,3076,0,Tamil Nadu,2012,575,585,475,0.694479327708463,435,366,-1,-1,-1,-1,-1,0.3555,0.5008,0.2366,-0.17277,-0.2875 +train,543255,115000.00,6/1/2014 0:00,present,technical support engineer,Noida,m,4/17/1992 0:00,73,up board,2009,72,up board,172,2,B.Tech/B.E.,electronics and communication engineering,70.4,172,0,Uttar Pradesh,2013,520,330,310,0.376059586651545,-1,300,-1,-1,-1,260,-1,-0.7264,1.6708,-0.1626,1.8249,-0.1295 +train,389140,325000.00,4/1/2013 0:00,7/1/2015 0:00,software engineer,Mumbai,f,7/14/1991 0:00,81.46,maharashtra board,2008,79.33,maharashtra board,8016,2,B.Tech/B.E.,information technology,68.24,8016,0,Maharashtra,2012,455,425,554,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.9737,-0.5913,-1.3599,0.8848,-0.0506 +train,863845,220000.00,1/1/2014 0:00,present,java software engineer,Noida,f,4/30/1991 0:00,87.8,cbse,2009,74.5,cbse,14351,2,B.Tech/B.E.,information technology,78.2,14351,0,Punjab,2013,615,500,530,0.978799292641428,415,-1,561,-1,-1,-1,-1,-0.5899,1.2114,0.4711,0.3995,0.2889 +train,580061,250000.00,7/1/2012 0:00,11/1/2013 0:00,software developer,Jaipur,m,4/2/1991 0:00,73.5,"rbse,ajmer",2008,77.23,ssm srsecschool,2028,2,B.Tech/B.E.,information technology,74.04,2028,1,Rajasthan,2012,300,500,720,0.635978756456794,445,-1,-1,-1,-1,-1,-1,1.2772,0.4395,-0.2974,-2.2627,-1.0524 +train,642309,600000.00,6/1/2013 0:00,11/1/2014 0:00,asst. manager,"Rayagada, Odisha",m,3/18/1991 0:00,94.8,cbse,2008,81.2,cbse,436,1,B.Tech/B.E.,other,90.32,436,0,Uttarakhand,2013,675,525,795,-1,385,-1,-1,420,-1,-1,-1,-0.3027,-0.7866,-0.4511,0.0192,-0.0943 +train,1007923,205000.00,1/1/2014 0:00,6/1/2014 0:00,java developer,Ahmedabad,m,4/16/1993 0:00,81.86,icse,2010,74.4,icse,1320,2,B.Tech/B.E.,computer engineering,80.7,1320,0,Gujarat,2014,560,560,605,0.842248322257836,595,-1,469,-1,-1,-1,-1,1.5644,1.5444,0.9322,-2.5163,1.4386 +train,374989,170000.00,10/1/2013 0:00,present,data analyst,Hyderabad,f,4/24/1991 0:00,83.5,board of secondaray education,2008,92.5,board of intermediate education,9774,2,B.Tech/B.E.,electronics and communication engineering,74.7,9774,1,Telangana,2012,445,565,615,0.910770164246022,-1,433,-1,-1,-1,420,-1,1.4374,1.7488,-1.5051,-1.7591,0.5024 +train,1271625,575000.00,4/1/2013 0:00,3/1/2015 0:00,ui developer,Hyderabad,m,12/21/1989 0:00,79.6,cbse,2007,72.8,cbse,5079,2,B.Tech/B.E.,computer engineering,68.7,5079,1,Rajasthan,2012,650,655,570,0.978799292641428,495,-1,561,-1,-1,-1,-1,0.5591,0.8784,0.3174,-0.7415,0.4805 +train,1122980,190000.00,4/1/2014 0:00,present,front end developer,-1,f,6/1/1990 0:00,73,state board,2007,56,state board,6480,2,MCA,computer application,71,6480,0,Maharashtra,2013,405,410,440,0.704090412131314,465,-1,-1,-1,-1,-1,-1,-0.4463,-0.1206,-0.1437,0.9066,0.8637 +train,1023416,120000.00,6/1/2014 0:00,1/1/2015 0:00,database developer,Hyderabad,m,5/13/1993 0:00,79,state board,2010,89.2,state board,14342,2,B.Tech/B.E.,information technology,71,14342,0,Andhra Pradesh,2014,370,505,330,0.563267823666597,425,-1,-1,-1,-1,-1,-1,0.99,1.3779,1.8543,0.5262,0.2889 +train,624540,130000.00,6/1/2013 0:00,8/1/2013 0:00,technical support engineer,Chennai,m,1/31/1992 0:00,81,state board,2009,77,state board,8823,2,B.Tech/B.E.,computer science & engineering,67,8823,0,Tamil Nadu,2013,510,500,295,0.308400582860308,355,-1,-1,-1,-1,-1,-1,1.4208,1.5444,1.0859,-1.1218,1.247 +train,681125,325000.00,10/1/2013 0:00,3/1/2014 0:00,systems engineer,Pune,m,2/21/1992 0:00,92.4,cbse,2009,83.4,cbse,6874,2,B.Tech/B.E.,computer engineering,71.46,6874,0,Uttarakhand,2013,765,715,635,0.23780283983757,555,-1,315,-1,-1,-1,-1,1.8517,1.5444,0.7785,-2.2627,1.0554 +train,975265,240000.00,12/1/2013 0:00,present,it support specialist,-1,m,2/3/1989 0:00,73.8,icse,2007,71,cbse,8634,2,B.Tech/B.E.,other,58.3,8634,0,Maharashtra,2013,640,595,595,-1,515,-1,469,-1,-1,-1,-1,0.8463,0.2124,0.6248,-0.8682,1.247 +train,332049,150000.00,8/1/2014 0:00,present,junior software engineer,Gurgaon,f,5/4/1990 0:00,86.2,cbse,2008,69.8,cbse,10932,2,B.Tech/B.E.,electronics and communication engineering,68.4,10932,0,Uttar Pradesh,2012,505,405,515,0.376059586651545,-1,300,-1,-1,-1,393,-1,0.9737,0.5008,-0.3803,0.76733,0.8183 +train,611964,615000.00,6/1/1991 0:00,present,quality assurance test engineer,Noida,f,6/18/1991 0:00,71,state board,2008,74.8,state board,64,2,B.Tech/B.E.,computer engineering,69.73,64,0,Uttar Pradesh,2013,555,545,680,0.952245572924303,585,-1,-1,-1,-1,-1,-1,-1.8825,-2.7846,-0.1437,0.9066,-1.0524 +train,334430,420000.00,7/1/2012 0:00,present,system engineer,Ahmedabad,m,9/9/1989 0:00,79.8,0,2007,81,0,1622,2,B.Tech/B.E.,electronics and communication engineering,76.03,1622,0,Madhya Pradesh,2012,425,535,605,0.694479327708463,-1,366,-1,-1,-1,-1,-1,1.4374,0.1498,-0.598,-1.58287,-0.7615 +train,1068237,110000.00,12/1/2014 0:00,present,system administrator,kakinada,m,6/27/1993 0:00,81.83,state board,2010,89.1,state board,15456,2,B.Tech/B.E.,electronics and electrical engineering,65.4,15456,0,Andhra Pradesh,2014,465,510,450,-1,-1,-1,-1,-1,-1,-1,-1,0.8463,1.2114,0.3174,-1.6289,-0.2859 +train,597889,350000.00,12/1/2013 0:00,present,software engineer,Hyderabad,m,7/1/1991 0:00,90.4,cbse,2009,79.8,cbse,47,1,B.Tech/B.E.,computer engineering,73.4,47,1,Delhi,2013,590,520,680,0.86262547474376,524,-1,-1,-1,-1,-1,-1,-2.3134,0.2124,-1.2196,2.0475,-1.6273 +train,336342,380000.00,3/1/2013 0:00,4/1/2015 0:00,associate system engineer,Hyderabad,m,12/14/1992 0:00,89.33,secondary school education,2008,97,board of intermediate,8404,2,B.Tech/B.E.,electronics and communication engineering,79,8404,0,Andhra Pradesh,2012,515,555,655,0.124502074009537,-1,233,-1,-1,-1,-1,-1,0.8578,0.0328,-0.1988,-0.26087,-0.2875 +train,245986,150000.00,4/1/2012 0:00,5/1/2014 0:00,quality engineer,Greater Noida,m,2/15/1989 0:00,69,0,2007,50,0,713,2,B.Tech/B.E.,electronics and instrumentation engineering,66,713,1,Tamil Nadu,2011,394,265,445,0.376059586651545,155,300,-1,-1,-1,313,-1,0.0464,-1.9953,0.0914,0.8848,0.0284 +train,1152368,180000.00,1/1/2014 0:00,2/1/2015 0:00,salesforce developer,Pune,m,5/8/1990 0:00,69.2,cbse,2008,64.4,cbse,13001,2,B.Tech/B.E.,electronics and communication engineering,67.8,13001,0,Madhya Pradesh,2012,490,360,310,0.436962648056859,-1,-1,-1,-1,-1,324,-1,0.4155,1.3779,1.547,3.3152,0.6721 +train,514471,200000.00,2/1/2013 0:00,5/1/2014 0:00,engineer-hws,GURGAON,m,4/27/1989 0:00,64,up board,2006,64,up board,2528,2,B.Tech/B.E.,electronics and communication engineering,65,2528,0,Uttar Pradesh,2012,500,435,605,0.0587928000083534,-1,200,-1,-1,-1,-1,-1,-1.4992,-2.0733,-1.2511,-0.2902,-2.0253 +train,961359,170000.00,8/1/2014 0:00,6/1/2015 0:00,technical support engineer,Kolkata,f,4/15/1992 0:00,67,icse,2010,67,icse,3054,2,B.Tech/B.E.,electronics & telecommunications,72,3054,0,Orissa,2014,450,460,340,0.649389714846691,455,356,-1,-1,-1,393,-1,-1.4517,0.2124,-0.6048,1.4136,-0.2859 +train,1094270,210000.00,1/1/2015 0:00,4/1/2015 0:00,network engineer,-1,m,7/10/1991 0:00,71.1,state board,2008,64.2,state board,4971,2,B.Tech/B.E.,electronics and communication engineering,74.3,4971,0,Uttar Pradesh,2014,535,445,545,0.976292560913216,-1,484,-1,-1,-1,388,-1,-0.8772,-0.1206,0.6248,0.0192,-0.2859 +train,837643,360000.00,3/1/2014 0:00,present,test engineer,Gurgaon,m,4/18/1993 0:00,84.6,cbse,2010,74.4,cbse,10932,2,B.Tech/B.E.,computer science & engineering,66.24,10932,0,Uttar Pradesh,2014,590,440,620,0.622642915849938,555,-1,407,-1,-1,-1,-1,0.1282,1.3779,-2.1418,-0.995,0.6721 +train,390616,190000.00,4/1/2013 0:00,4/1/2014 0:00,network engineer,Navi Mumbai,m,10/7/1990 0:00,61.73,ssc,2008,60,hsc,7495,2,B.Tech/B.E.,computer engineering,63.33,7495,0,Maharashtra,2012,455,395,385,0.308400582860308,355,366,-1,-1,-1,-1,-1,-0.2628,-0.4353,1.2525,0.0623,-0.9194 +train,988904,235000.00,5/1/2014 0:00,present,business analyst consultant,Chandigarh,m,9/24/1992 0:00,78.16,icse,2010,64.83,icse,137,2,B.Tech/B.E.,computer science & engineering,63.65,137,0,Uttar Pradesh,2014,560,510,450,-1,-1,-1,-1,-1,-1,-1,-1,-0.0154,0.8784,1.2396,1.9207,0.8637 +train,982556,350000.00,7/1/2014 0:00,present,qa analyst,Noida,m,3/24/1992 0:00,88,cbse,2009,88,cbse,387,2,B.Tech/B.E.,information technology,74.74,387,0,Uttar Pradesh,2014,490,545,630,0.356536487724475,575,-1,346,-1,-1,-1,-1,0.5591,-0.1206,0.01,-1.1218,-0.0943 +train,391149,335000.00,7/1/2012 0:00,present,software engineer,Bangalore,m,1/1/1991 0:00,77.22,karnataka secondary education board,2008,75.66,karnataka pre university board,356,2,B.Tech/B.E.,electronics and communication engineering,77.01,356,1,Karnataka,2012,385,465,595,0.824666400671332,-1,400,-1,-1,-1,260,-1,-0.4173,0.1888,-0.1988,-0.349,-0.1295 +train,331251,355000.00,3/1/2013 0:00,present,software quality assurance tester,Bangalore,f,12/10/1990 0:00,92,board of secondary education,2008,94.9,board of intermediate,9769,2,B.Tech/B.E.,computer engineering,76,9769,1,Telangana,2012,595,475,684,0.916869961103619,555,-1,-1,-1,-1,-1,-1,-0.4173,-0.2012,-0.3803,-0.4078,-0.9194 +train,332961,430000.00,3/1/2013 0:00,present,senior systems engineer,Bhubneshwar,m,4/2/1991 0:00,86,ssc,2008,96.5,board of intermediate education,6638,2,B.Tech/B.E.,electronics and communication engineering,71.46,6638,0,Andhra Pradesh,2012,565,615,745,0.824666400671332,535,400,-1,-1,-1,-1,-1,-1.6538,-1.0203,-0.4891,1.23732999999999,-1.2354 +train,348688,300000.00,10/1/2013 0:00,present,software engineer,Jaipur,m,8/15/1989 0:00,58,0,2007,59,0,3159,2,MCA,computer application,70,3159,0,Rajasthan,2013,395,385,525,0.968237495890543,605,-1,-1,-1,-1,-1,-1,0.6646,0.9688,-0.1988,0.1798,0.1864 +train,514541,200000.00,5/1/2012 0:00,2/1/2014 0:00,quality analyst,Gurgaon,f,8/23/1988 0:00,84,cbse,2006,71,cbse,2528,2,B.Tech/B.E.,electronics and communication engineering,73.5,2528,0,Uttar Pradesh,2012,535,460,340,0.985461394326131,325,500,-1,-1,-1,-1,-1,0.3555,0.1888,0.672,0.8848,-0.406 +train,900218,420000.00,7/1/2010 0:00,8/1/2011 0:00,management trainee,New Delhi,m,1/11/1988 0:00,82,cbse,2005,75.8,cbse,443,1,M.Tech./M.E.,other,82.5,443,0,Uttar Pradesh,2014,625,520,705,-1,-1,-1,-1,-1,-1,-1,-1,-1.8825,0.5454,-0.9122,-0.1076,-1.4356 +train,993561,220000.00,6/1/2013 0:00,7/1/2014 0:00,android developer,Indore,m,6/30/1991 0:00,91.6,state board,2009,76,state board,3725,2,B.Tech/B.E.,information technology,70.25,3725,0,Madhya Pradesh,2013,570,545,405,0.842248322257836,445,-1,469,-1,-1,-1,-1,0.2718,-0.1206,-0.6048,-0.3612,-0.0943 +train,614115,350000.00,4/1/2014 0:00,4/1/2015 0:00,product manager,Bangalore,m,8/14/1992 0:00,82.6,cbse,2009,68.4,cbse,272,2,B.Tech/B.E.,electronics and communication engineering,72,272,0,Punjab,2013,570,500,590,-1,-1,-1,-1,-1,-1,-1,-1,0.99,-0.6201,-0.4511,0.3995,-1.0524 +train,1088451,250000.00,2/1/2014 0:00,present,software 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0:00,2/1/2015 0:00,sales associate,Chennai,f,12/4/1989 0:00,65,state bord,2007,52,state bord,720,2,MCA,computer application,75,720,1,Tamil Nadu,2013,300,270,285,0.190153405601018,315,-1,-1,-1,-1,-1,-1,-1.6538,-1.8393,-1.5051,0.2973,-2.1833 +train,284534,210000.00,9/1/2013 0:00,4/1/2015 0:00,quality analyst,Pune,m,5/10/1989 0:00,76,cbse,2007,74,cbse,3649,2,B.Tech/B.E.,computer engineering,71.48,3649,1,Karnataka,2011,395,385,315,0.245455659999829,335,-1,-1,-1,-1,-1,-1,0.6646,0.5008,0.672,-0.9953,0.5024 +train,1091127,150000.00,11/1/2014 0:00,present,it recruiter,Bangalore,m,12/20/1992 0:00,63.8,cbse,2009,62.33,state board,11118,2,B.Tech/B.E.,electronics & telecommunications,74,11118,0,Orissa,2013,560,495,380,-1,385,-1,346,-1,-1,-1,-1,0.8463,1.3779,2.1617,-1.2486,0.6721 +train,505714,240000.00,1/1/2014 0:00,2/1/2015 0:00,project coordinator,Jaipur,m,10/19/1989 0:00,46.8,"jbse,jharkhand",2009,72.48,"jstb,jharkhand",165,2,B.Tech/B.E.,computer 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bhopal,2006,78.66,mp board bhopal,974,2,B.Tech/B.E.,computer engineering,69.47,974,0,Maharashtra,2011,435,565,455,0.245455659999829,335,-1,-1,-1,-1,-1,-1,0.0464,0.1888,0.672,0.7673,0.5024 +train,639884,180000.00,8/1/2014 0:00,1/1/2015 0:00,salesforce developer,Noida,m,10/21/1992 0:00,77,board of secondary education,2009,70.92,board of secondary education rajasthan,183,2,B.Tech/B.E.,electronics and communication engineering,71.09,183,1,Rajasthan,2013,370,440,250,0.538386892985096,-1,333,-1,-1,-1,393,-1,1.4208,0.2124,0.6248,0.2727,-0.0943 +train,331557,455000.00,7/1/2012 0:00,4/1/2015 0:00,system administrator,Chennai,f,3/27/1991 0:00,76,0,2008,78,0,8011,2,B.Tech/B.E.,information technology,73,8011,0,Tamil Nadu,2012,485,595,345,0.308400582860308,355,-1,-1,-1,-1,-1,-1,0.8192,0.8518,-1.9042,-1.23027,-0.4455 +train,78936,375000.00,5/1/2013 0:00,5/1/2015 0:00,operations engineer,New Delhi,m,8/24/1988 0:00,68,cbse,2006,59.2,cbse,137,2,B.Tech/B.E.,electronics and communication 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0:00,84.16,0,2006,80.4,0,1648,2,B.Tech/B.E.,electronics & telecommunications,63.6,1648,1,Karnataka,2010,535,475,415,0.0587928000083534,365,200,-1,-1,-1,-1,-1,-1.4992,-0.1232,0.0914,2.2949,-1.2354 +train,641222,300000.00,9/1/2013 0:00,present,software engineer,Hyderabad,f,2/1/1992 0:00,92.3,state board,2009,93.9,state board,9769,2,B.Tech/B.E.,information technology,76.9,9769,1,Telangana,2013,465,510,635,0.765673581234011,485,-1,-1,-1,-1,-1,-1,1.4208,1.7109,-0.1437,-1.6289,0.8637 +train,1086345,300000.00,3/1/2015 0:00,present,project engineer,Greater Noida,f,2/11/1994 0:00,80,cbse,2011,81,cbse,14004,2,B.Tech/B.E.,electronics and communication engineering,82.6,14004,0,Himachal Pradesh,2015,370,445,390,0.338786347219528,445,292,-1,-1,-1,228,-1,-0.4463,-0.2871,-0.1437,2.1743,1.4386 +train,640251,300000.00,1/1/2014 0:00,present,software developer,Thiruvananthapuram,m,5/8/1992 0:00,81.5,state board,2009,77.5,state board,4042,2,B.Tech/B.E.,computer science & engineering,74.6,4042,0,Tamil Nadu,2013,510,525,680,0.901489571371033,545,-1,-1,-1,-1,-1,-1,-1.0208,0.3789,-0.4511,-1.2486,0.0973 +train,811394,325000.00,6/1/2014 0:00,6/1/2015 0:00,system engineer,-1,m,4/22/1990 0:00,93.8,cbse,2009,76,cbse,47,1,B.Tech/B.E.,electronics and communication engineering,72.5,47,1,Delhi,2014,615,415,680,0.338786347219528,425,292,-1,-1,-1,393,-1,1.5644,1.5444,1.8543,-0.3612,0.0973 +train,954255,330000.00,5/1/2014 0:00,present,associate software engineer,Hyderabad,m,10/31/1992 0:00,88,state board,2010,90,state board,8930,2,B.Tech/B.E.,electronics and communication engineering,63.29,8930,1,Telangana,2014,580,470,555,0.783303536670298,-1,388,284,-1,-1,-1,-1,0.2718,0.0459,0.6248,-1.8824,1.0554 +train,999631,300000.00,1/1/2015 0:00,present,systems engineer,pune,f,8/27/1993 0:00,93,state board,2010,88.2,state board,11993,2,B.Tech/B.E.,electronics and communication engineering,90,11993,0,Andhra Pradesh,2014,510,530,520,0.0531603052826837,365,196,-1,-1,-1,-1,-1,0.4155,0.2124,-0.2974,-0.4879,1.4386 +train,336560,450000.00,2/1/2013 0:00,present,software engineer,Kolkata,f,9/23/1989 0:00,93.67,cbse,2007,72.6,cbse,10930,2,B.Tech/B.E.,computer engineering,78,10930,1,West Bengal,2012,485,565,475,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.9737,0.5008,-1.3599,0.41483,-0.9194 +train,120544,250000.00,5/1/2011 0:00,11/1/2012 0:00,system administrator,Nellore,m,4/1/1989 0:00,63,board of secondary education,2006,52.7,board of intermediate education,1325,2,B.Tech/B.E.,computer engineering,54.43,1325,0,Andhra Pradesh,2010,375,365,305,0.123016731640823,285,-1,-1,-1,-1,-1,-1,-2.7357,-2.7754,-1.0697,1.2374,-2.3412 +train,1152034,180000.00,1/1/2014 0:00,12/1/2014 0:00,automation engineer,New Delhi,m,3/16/1991 0:00,75.16,state board,2008,82.03,state board,140,2,B.Tech/B.E.,electronics & instrumentation eng,80.98,140,0,Uttar 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board,13984,2,B.Tech/B.E.,computer science & engineering,72.3,13984,1,Telangana,2014,570,605,415,0.563267823666597,425,-1,-1,-1,-1,-1,-1,1.2772,1.3779,1.3933,-1.3753,0.2889 +train,217052,470000.00,6/1/2011 0:00,12/1/2013 0:00,sql dba,NOIDA,f,3/25/1988 0:00,87,0,2005,80,0,4948,2,B.Tech/B.E.,information technology,70,4948,1,Rajasthan,2011,545,495,555,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-1.1901,-0.1232,-1.5051,0.7673,0.1864 +train,258029,220000.00,8/1/2010 0:00,6/1/2012 0:00,software test engineer,Bangalore,m,8/20/1987 0:00,74.5,0,2004,75.1,0,4889,2,MCA,computer application,81,4889,1,Tamil Nadu,2010,495,425,365,0.525922584252055,415,-1,-1,-1,-1,-1,-1,1.1283,-1.0593,0.9623,0.5323,0.3444 +train,297454,150000.00,1/1/2013 0:00,present,software developer,New Delhi,m,7/15/1988 0:00,77.8,0,2006,61,0,3918,2,B.Tech/B.E.,information technology,53.3,3918,1,Karnataka,2011,525,605,425,0.413838255788123,385,-1,-1,-1,-1,-1,-1,-0.1082,0.6568,-0.7794,-0.4078,0.0284 +train,1183033,305000.00,7/1/2014 0:00,present,client services associate,Hyderabad,f,2/10/1993 0:00,89,state board,2010,90.6,state board,5338,2,B.Tech/B.E.,computer science & engineering,70.4,5338,0,Andhra Pradesh,2014,335,505,630,0.622642915849938,555,-1,407,-1,-1,-1,-1,1.4208,-0.2871,0.1637,-2.2627,0.6721 +train,732786,365000.00,1/1/2014 0:00,4/1/2015 0:00,system engineer,Bangalore,m,8/16/1990 0:00,85.62,west bengal board of secondary eucation,2008,81,west bengal council of higher secondary eucation,11166,2,B.Tech/B.E.,electronics and communication engineering,85.7,11166,0,West Bengal,2013,475,605,650,0.538386892985096,-1,333,-1,-1,-1,-1,-1,0.8463,0.2124,1.0859,-0.995,0.8637 +train,827497,325000.00,7/1/2014 0:00,4/1/2015 0:00,systems engineer,Pune,m,1/12/1992 0:00,93.8,cbse,2010,90.4,cbse,47,1,B.Tech/B.E.,electronics and electrical engineering,78.53,47,1,Delhi,2014,580,605,590,0.163630926631106,435,452,-1,-1,313,-1,-1,0.1282,-0.7866,-1.9881,-0.6147,0.6721 +train,510199,770000.00,7/1/2012 0:00,present,engineer,Noida,m,11/13/1990 0:00,79.6,cbse,2008,87.6,cbse,4234,2,B.Tech/B.E.,computer engineering,79.68,4234,0,Uttar Pradesh,2012,580,670,900,0.990008756723898,655,-1,-1,-1,-1,-1,-1,-1.1901,-0.1232,-0.344,0.1798,-0.2875 +train,297128,200000.00,1/1/2013 0:00,6/1/2013 0:00,operations assistant,Kolkata,m,12/4/1988 0:00,61,icse,2006,61.8,isc,2819,2,B.Tech/B.E.,information technology,62.2,2819,0,Uttar Pradesh,2012,395,565,475,0.670743151433127,455,-1,-1,-1,-1,-1,-1,0.5522,0.8128,-1.0116,-1.3008,0.1864 +train,1202631,300000.00,6/1/2014 0:00,4/1/2015 0:00,operations analyst,HYDERABAD,f,6/3/1993 0:00,91,state board,2010,90,state board,11223,2,B.Tech/B.E.,computer science & engineering,79,11223,1,Telangana,2014,650,425,450,0.622642915849938,415,-1,407,-1,-1,-1,-1,0.8463,0.2124,1.0859,-0.4879,0.6721 +train,1142387,180000.00,7/1/2014 0:00,present,trainee software engineer,Navi Mumbai,m,1/15/1993 0:00,73.4,state board,2010,65.8,state board,1213,2,B.Tech/B.E.,information 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Pradesh,2014,580,580,400,0.635978756456794,445,-1,-1,-1,-1,-1,-1,1.1336,0.5454,0.6248,-0.3612,0.4805 +train,809634,240000.00,5/1/2014 0:00,present,software engineer,Pune,m,7/11/1991 0:00,71,state boardmp board ,2009,70.8,state board,10389,2,B.Tech/B.E.,computer science & engineering,75,10389,0,Madhya Pradesh,2013,325,485,575,0.911395278391328,465,-1,500,-1,-1,-1,-1,0.1282,1.2114,2.008,0.2727,0.6721 +train,325937,420000.00,8/1/2012 0:00,12/1/2014 0:00,software engineer,Hyderabad,f,3/13/1991 0:00,88,ssc,2008,89,board of intermediate,9164,2,B.Tech/B.E.,information technology,78,9164,1,Telangana,2012,515,465,395,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.9737,1.5928,0.8171,-0.96597,0.3444 +train,57277,535000.00,8/1/2010 0:00,present,senior engineer,Greater Noida,m,8/26/1989 0:00,77.4,up,2006,80,up,3579,2,B.Tech/B.E.,mechanical engineering,71.9,3579,0,Uttar Pradesh,2010,365,555,575,0.654107474545933,-1,-1,-1,420,-1,-1,-1,-0.1082,0.3448,1.3977,0.5323,0.3444 +train,937958,325000.00,6/1/2014 0:00,present,system engineer,Chandigarh,f,9/14/1992 0:00,91.3,icse,2010,85,icse,6874,2,B.Tech/B.E.,information technology,81,6874,0,Uttarakhand,2014,500,450,555,0.842248322257836,465,-1,469,-1,-1,-1,-1,0.99,1.0449,0.3174,-0.6147,1.0554 +train,902841,430000.00,5/1/2014 0:00,8/1/2014 0:00,software engineer,Hyderabad,m,5/19/1992 0:00,83,state board,2010,82,state board,9775,2,B.Tech/B.E.,computer science & engineering,71,9775,1,Telangana,2014,425,465,470,-1,-1,-1,-1,-1,-1,-1,-1,-0.7335,-0.4536,0.1637,1.0333,-0.2859 +train,1068968,60000.00,2/1/2014 0:00,7/1/2014 0:00,web designer and joomla administrator,Bangalore,m,5/17/1991 0:00,93.28,state board,2009,77.5,state board,1872,2,B.Tech/B.E.,electronics and electrical engineering,70.36,1872,0,Karnataka,2013,475,485,450,0.931749687274917,455,-1,-1,-1,548,-1,-1,0.99,0.8784,-0.1437,-1.6289,0.2889 +train,898295,180000.00,7/1/2014 0:00,1/1/2015 0:00,data analyst,-1,m,11/26/1992 0:00,76,cbse,2010,71,cbse,7626,2,B.Tech/B.E.,information technology,68.8,7626,0,Uttar Pradesh,2014,555,585,470,0.486747008438193,335,-1,376,-1,-1,-1,-1,-1.4517,-0.9531,-1.2196,0.2727,-1.244 +train,214454,190000.00,9/1/2013 0:00,present,project assistant,New Delhi,f,8/30/1989 0:00,74.6,cbse,2006,68.6,cbse,44,2,B.Tech/B.E.,computer engineering,77,44,0,Uttar Pradesh,2012,395,435,575,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.2009,-0.2793,-0.4891,1.1199,-0.4455 +train,262077,80000.00,9/1/2011 0:00,4/1/2012 0:00,customer service representative,Hyderabad,m,5/30/1987 0:00,75.83,"icse board , new delhi",2007,62,"isc board , new delhi",2692,2,B.Tech/B.E.,computer engineering,71,2692,0,Orissa,2011,425,355,425,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.2628,0.3448,0.0914,-0.5253,0.1864 +train,850062,325000.00,2/1/2014 0:00,present,test engineer,Hyderabad,m,7/31/1992 0:00,91.8,state board,2009,89,state board,1754,2,B.Tech/B.E.,computer science & engineering,66.2,1754,0,Kerala,2013,675,500,575,0.744758354008939,395,-1,438,-1,-1,-1,-1,0.99,1.7109,0.1637,1.0333,1.247 +train,705093,325000.00,4/1/2014 0:00,present,project engineer,Bangalore,m,6/17/1992 0:00,79,state board,2009,90,state board,551,2,B.Tech/B.E.,electronics and communication engineering,75,551,0,Tamil Nadu,2013,625,535,595,-1,455,-1,192,-1,-1,-1,-1,-1.7389,-0.9531,-0.2974,-0.995,0.0973 +train,1043815,800000.00,3/1/2014 0:00,present,senior web developer,Dubai,m,3/22/1990 0:00,83.4,cbse,2009,70,cbse,11155,2,B.Tech/B.E.,computer science & engineering,78,11155,1,West Bengal,2013,665,520,570,0.991230625262871,515,-1,592,-1,-1,-1,-1,0.4155,0.5454,-0.2974,-0.4879,0.8637 +train,1253642,325000.00,10/1/2014 0:00,present,system engineer,Pune,m,7/6/1992 0:00,74.8,cbse,2010,65.5,cbse,3254,2,B.Tech/B.E.,information technology,66.1,3254,0,Maharashtra,2014,545,565,475,0.23780283983757,485,-1,315,-1,-1,-1,-1,-0.4463,0.0459,0.7785,1.794,0.6721 +train,335296,120000.00,12/1/2013 0:00,5/1/2013 0:00,technical support engineer,Noida,m,8/17/1989 0:00,58.33,up,2007,73.33,up,198,2,B.Tech/B.E.,computer science & engineering,71.97,198,0,Uttar Pradesh,2012,395,325,585,0.744758354008939,395,-1,438,-1,-1,-1,-1,0.8192,0.5008,0.2366,-0.05527,0.6603 +train,349849,240000.00,3/1/2013 0:00,4/1/2015 0:00,senior business analyst,Hyderabad,m,7/14/1989 0:00,78.3,0,2006,63.8,0,2162,2,MCA,computer application,72,2162,1,Telangana,2012,465,335,365,0.308400582860308,355,-1,-1,-1,-1,-1,-1,-1.4992,-0.2012,0.2729,0.4148,-0.2875 +train,1157712,300000.00,7/1/2014 0:00,present,systems engineer,Hyderabad,f,9/23/1992 0:00,83.4,cbse,2010,80.3,cbse,3579,2,B.Tech/B.E.,electronics and communication engineering,73.4,3579,0,Uttar Pradesh,2014,735,530,415,0.493596387301038,-1,324,-1,-1,-1,388,-1,0.2718,0.3789,0.7785,-0.7415,0.8637 +train,1245332,160000.00,1/1/2015 0:00,present,programmer,New Delhi,m,8/15/1991 0:00,70,cbse,2008,60,cbse,51,2,MCA,computer application,70,51,0,Uttar Pradesh,2015,440,395,440,0.735795709224656,475,-1,-1,-1,-1,-1,-1,1.5644,1.7109,-0.6048,-1.8824,0.4805 +train,572458,370000.00,7/1/2012 0:00,present,senior software engineer,Noida,m,6/5/1990 0:00,58,state board,2007,66.4,state board,2541,2,B.Tech/B.E.,electronics and communication engineering,66,2541,0,Uttarakhand,2012,335,455,595,-1,305,-1,-1,-1,-1,-1,-1,0.8479,0.9028,-0.4899,-0.8177,0.7906 +train,1251571,180000.00,10/1/2014 0:00,5/1/2015 0:00,service coordinator,Noida,m,6/4/1991 0:00,50,state board,2008,62.23,state board,2528,2,B.Tech/B.E.,computer science & engineering,64.4,2528,0,Uttar Pradesh,2013,465,410,465,0.144789889482462,345,-1,284,-1,-1,-1,-1,1.5644,0.8784,0.6248,0.9066,0.8637 +train,1264540,240000.00,8/1/2014 0:00,4/1/2015 0:00,software developer,Faridabad,m,8/22/1992 0:00,80.33,cbse,2010,66.2,cbse,3245,2,B.Tech/B.E.,information technology,67.6,3245,0,Haryana,2014,395,520,500,0.23780283983757,495,-1,315,-1,-1,-1,-1,0.4155,0.7119,0.7785,0.0192,0.2889 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0:00,91,cbse,2007,90.4,cbse,9072,2,B.Tech/B.E.,information technology,79.7,9072,0,Orissa,2012,454,495,615,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.7264,-0.7863,-0.4891,-0.4078,-0.9194 +train,606571,500000.00,7/1/2013 0:00,present,business analyst,Gurgaon,m,5/6/1991 0:00,95.2,cbse,2009,91.4,cbse,285,1,B.Tech/B.E.,electrical engineering,94.6,285,0,Punjab,2013,710,560,885,0.824666400671332,445,400,-1,-1,-1,-1,-1,0.1282,0.2124,0.1637,-0.4879,0.4805 +train,1061658,120000.00,6/1/2014 0:00,9/1/2014 0:00,data analyst,Hyderabad,m,2/15/1992 0:00,68.33,state board,2010,82.4,state board,9837,2,B.Tech/B.E.,electronics and communication engineering,69.4,9837,1,Telangana,2014,525,545,475,0.649389714846691,295,356,-1,-1,-1,292,-1,0.8463,0.8784,-0.6048,0.9066,0.4805 +train,358189,345000.00,7/1/2013 0:00,present,software engineer,Pune,m,11/20/1989 0:00,74.8,cbse,2007,75.4,cbse,167,2,B.Tech/B.E.,electronics and communication engineering,64.19,167,0,Haryana,2012,605,435,525,0.694479327708463,-1,366,-1,-1,-1,-1,-1,-1.0135,-0.2793,-0.1988,0.7493,-0.2875 +train,274453,175000.00,6/1/2011 0:00,8/1/2012 0:00,qa analyst,Hyderabad,m,9/1/1990 0:00,88.5,ssc,2007,94.7,"board of intermediate education,ap",499,2,B.Tech/B.E.,electronics and electrical engineering,77.5,499,1,Telangana,2011,435,555,635,0.538386892985096,315,333,-1,-1,-1,-1,-1,0.8192,1.1248,1.688,-1.8179,-0.9194 +train,1035873,400000.00,8/1/2014 0:00,present,software engineer,-1,m,4/18/1992 0:00,67.1,cbse,2009,57.2,cbse,7770,2,B.Tech/B.E.,electronics and communication engineering,73.6,7770,0,Madhya Pradesh,2013,545,655,570,-1,575,-1,469,-1,-1,-1,-1,-0.159,0.2124,0.9322,0.653,-1.244 +train,439125,450000.00,3/1/2013 0:00,present,enterprise solutions developer,Trivandrum,m,1/27/1989 0:00,88.53,board of secondary education (bse) orissa,2007,83.88,certificate for higher secondary education (chse)orissa,3081,2,B.Tech/B.E.,electronics & telecommunications,77.1,3081,0,Orissa,2012,595,585,565,0.960603251997053,-1,466,-1,-1,-1,-1,-1,-1.1901,-0.6693,-1.4688,0.0623,-1.3934 +train,536796,370000.00,9/1/2013 0:00,4/1/2015 0:00,assistant system engineer,-1,m,5/4/1991 0:00,87.2,0,2008,72,0,124,2,B.Tech/B.E.,information technology,75,124,0,Orissa,2013,500,520,470,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.7264,-0.2012,-0.598,1.7074,-1.0774 +train,326334,325000.00,3/1/2012 0:00,4/1/2015 0:00,assistant manager,Chennai,f,8/25/1990 0:00,74.6,stateboard,2008,83.75,stateboard,439,2,B.Tech/B.E.,computer engineering,70,439,1,Tamil Nadu,2012,325,375,335,0.276047228046856,345,-1,-1,-1,-1,-1,-1,-0.1082,0.0328,-0.7794,-0.2902,0.0679 +train,827283,300000.00,1/1/2014 0:00,present,java software engineer,Noida,m,1/13/1993 0:00,85,cbse,2010,84,cbse,70,2,B.Tech/B.E.,information technology,77.7,70,0,Uttar Pradesh,2014,545,520,575,0.356536487724475,465,-1,346,-1,-1,-1,-1,0.4155,0.2124,-0.9122,-0.995,-0.6692 +train,806389,280000.00,1/1/2014 0:00,8/1/2014 0:00,information technology specialist,Gurgaon,m,1/14/1993 0:00,77,cbse,2010,68,cbse,11759,2,B.Tech/B.E.,computer science & engineering,68,11759,0,Uttarakhand,2014,430,640,470,0.23780283983757,435,-1,315,-1,-1,-1,-1,-2.1698,-1.2861,-0.7585,2.0475,-0.2859 +train,781327,240000.00,10/1/2013 0:00,4/1/2015 0:00,database developer,Gurgaon,m,11/21/1987 0:00,60,state board,2006,50,state board,11013,2,B.Tech/B.E.,computer science & engineering,69.94,11013,0,Orissa,2013,240,340,430,0.143256541032196,295,-1,-1,-1,-1,-1,-1,-1.8825,-2.2851,-0.2974,-0.2344,-0.6692 +train,274473,440000.00,8/1/2012 0:00,present,assistant manager,Hyderabad,f,1/31/1990 0:00,87,0,2007,94,0,499,2,B.Tech/B.E.,electronics and communication engineering,74,499,1,Telangana,2011,544,615,625,0.694479327708463,-1,366,-1,-1,-1,420,-1,-1.0355,0.8128,-0.6343,-1.2303,0.0284 +train,1117115,150000.00,4/1/2015 0:00,present,java developer,Bangalore,f,6/19/1992 0:00,82.46,state board,2009,71,state board,6978,2,B.Tech/B.E.,electronics & telecommunications,67.81,6978,0,Maharashtra,2013,535,470,450,0.338786347219528,555,292,-1,-1,-1,-1,-1,0.8463,0.7119,-0.1437,-0.1076,-0.0943 +train,711343,110000.00,3/1/2013 0:00,2/1/2015 0:00,php developer,Gurgaon,m,7/12/1991 0:00,66.6,state board,2007,70,state board,184,2,B.Tech/B.E.,information technology,68.98,184,0,Uttar Pradesh,2013,310,450,485,0.308400582860308,355,-1,-1,-1,-1,-1,-1,-0.8772,-2.4516,-1.0659,-0.2344,-2.5853 +train,984667,60000.00,5/1/2015 0:00,7/1/2015 0:00,technical writer,Noida,m,11/16/1993 0:00,74.5,cbse,2010,62,cbse,387,2,B.Tech/B.E.,mechanical engineering,63.82,387,0,Uttar Pradesh,2015,615,470,560,0.459015840492937,-1,-1,-1,376,-1,-1,-1,0.2718,0.7119,-0.4511,0.653,0.4805 +train,96708,400000.00,2/1/2012 0:00,5/1/2014 0:00,systems engineer,Bangalore,f,8/10/1987 0:00,71,icse,2005,72,icse,5086,2,MCA,computer 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engineering,63,8946,1,Telangana,2013,440,300,285,-1,-1,-1,-1,-1,-1,-1,-1,1.8517,0.8784,1.547,-0.2344,0.4805 +train,1267237,240000.00,10/1/2014 0:00,present,software test engineer,Bangalore,f,12/12/1991 0:00,72.8,cbse,2009,65.6,cbse,3002,2,B.Tech/B.E.,electronics and electrical engineering,70,3002,0,Orissa,2013,545,470,380,0.112139438207403,355,228,-1,-1,-1,-1,-1,1.2772,0.7119,0.7785,-1.1218,0.6721 +train,416239,205000.00,11/1/2012 0:00,present,software test engineer,Noida,m,7/29/1990 0:00,60,up board,2007,60,up board,53,2,B.Tech/B.E.,computer engineering,65.86,53,0,Uttar Pradesh,2012,415,405,345,0.21678548596901,325,-1,-1,-1,-1,-1,-1,-0.7264,-1.7056,0.1138,0.0623,-1.8673 +train,483282,100000.00,7/1/2012 0:00,9/1/2013 0:00,software engineer,Bhopal,m,9/21/1990 0:00,72.6,mp board,2008,77.7,mp board,220,2,B.Tech/B.E.,information technology,75.94,220,0,Madhya Pradesh,2012,225,485,395,0.819416529835888,505,-1,-1,-1,-1,-1,-1,0.7419,0.1888,0.2366,1.678,0.1864 +train,601305,200000.00,6/1/2013 0:00,present,quality engineer,Ludhiana,m,12/11/1990 0:00,73,state board,2009,59,state board,272,2,B.Tech/B.E.,mechanical engineering,72.99,272,0,Punjab,2013,275,535,560,0.945134855960355,335,-1,-1,526,-1,-1,-1,-0.159,-0.1206,-0.2974,-0.7415,-0.2859 +train,103165,300000.00,8/1/2010 0:00,4/1/2012 0:00,software developer,Chennai,m,12/9/1988 0:00,76.7,matriculation,2006,80,state board,1263,2,B.Tech/B.E.,computer engineering,77.4,1263,1,Tamil Nadu,2010,415,465,565,0.308400582860308,355,-1,-1,-1,-1,-1,-1,1.1283,-0.7473,0.0914,-1.2303,0.5024 +train,901224,315000.00,7/1/2014 0:00,present,associate software engineer,Bengaluru,f,7/5/1993 0:00,85.76,state board,2010,83.83,state board,316,2,B.Tech/B.E.,computer science & engineering,78.15,316,1,Karnataka,2014,520,630,560,0.974396112538398,615,-1,-1,-1,-1,-1,-1,-1.5953,-1.4859,-1.7086,-0.4879,-1.9234 +train,575114,380000.00,8/1/2013 0:00,present,java developer,Indore,m,11/10/1991 0:00,80.8,cbse,2009,70.4,cbse,5400,2,B.Tech/B.E.,computer science & engineering,69.3,5400,0,Madhya Pradesh,2013,450,450,560,0.765673581234011,485,-1,-1,-1,-1,-1,-1,1.5644,0.2124,-0.7585,-1.6289,-0.6692 +train,1161518,240000.00,8/1/2014 0:00,present,business development manager,Noida,m,7/14/1992 0:00,76,icse,2010,63,icse,66,2,B.Tech/B.E.,computer science & engineering,60,66,0,Uttar Pradesh,2014,675,640,605,0.486747008438193,525,-1,376,-1,-1,-1,-1,-0.3027,1.7109,0.7785,-1.6289,1.247 +train,38335,720000.00,7/1/2010 0:00,present,civil engineer,patna,m,11/17/1985 0:00,82,cbse,2003,75,cbse,11157,1,B.Tech/B.E.,civil engineering,81.2,11157,0,Jharkhand,2010,534,375,605,0.28677780573584,495,-1,-1,-1,-1,-1,300,0.6646,-0.1232,0.2366,-0.0552,0.6603 +train,140121,90000.00,9/1/2011 0:00,8/1/2013 0:00,embedded software engineer,Bangalore,m,6/15/1988 0:00,90.24,karnataka state secondary education board,2006,81.5,karnataka state board,6810,2,M.Tech./M.E.,electronics and communication 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0:00,present,android developer,New Delhi,m,9/15/1990 0:00,87.6,mp board,2008,86.4,mp board,3879,2,B.Tech/B.E.,computer engineering,73.12,3879,0,Madhya Pradesh,2012,325,325,405,0.21678548596901,325,-1,-1,-1,-1,-1,-1,-1.9629,-0.0842,-0.598,1.00233,-0.2875 +train,1127268,300000.00,5/1/2014 0:00,10/1/2014 0:00,software engineer,chennai,m,1/12/1991 0:00,68,cbse,2009,72,cbse,6659,2,B.Tech/B.E.,computer science & engineering,70,6659,1,Tamil Nadu,2013,440,425,415,0.622642915849938,455,-1,407,-1,-1,-1,-1,-0.5899,-0.6201,0.1637,0.1459,-0.6692 +train,283546,200000.00,12/1/2011 0:00,12/1/2012 0:00,business analyst,New Delhi,m,3/22/1989 0:00,84.2,cbse,2006,78.2,cbse,2097,2,B.Tech/B.E.,electronics and communication engineering,72.52,2097,0,Uttar Pradesh,2011,665,575,645,0.824666400671332,-1,400,-1,-1,-1,526,-1,1.1283,1.1248,-0.0537,-1.1128,-0.1295 +train,670213,180000.00,8/1/2013 0:00,present,engineer,-1,m,5/5/1991 0:00,69.83,state board,2008,53.85,state board,9699,2,B.Tech/B.E.,information technology,66.88,9699,1,Rajasthan,2013,450,410,400,0.377551419424541,375,-1,-1,-1,-1,-1,-1,-0.159,0.0459,0.01,0.2727,0.4805 +train,145701,900000.00,12/1/2014 0:00,4/1/2014 0:00,automation engineer,Delhi,m,12/16/1988 0:00,83.67,cbse,2006,73.67,cbse,1599,2,B.Tech/B.E.,electronics and communication engineering,72.7,1599,0,Meghalaya,2010,645,495,615,0.538386892985096,375,333,-1,-1,-1,-1,-1,-0.2628,0.8128,1.3977,1.0024,1.1343 +train,805812,100000.00,10/1/2012 0:00,9/1/2012 0:00,financial analyst,Pune,f,9/30/1991 0:00,82.6,cbse,2008,71.6,cbse,13259,2,B.Tech/B.E.,chemical engineering,55.6,13259,1,Maharashtra,2012,615,575,705,-1,-1,-1,-1,-1,-1,-1,-1,0.99,-0.6201,0.3174,1.5404,-0.8608 +train,544522,370000.00,9/1/2013 0:00,present,quality assurance engineer,Navi Mumbai,m,3/20/1991 0:00,91.6,cbse,2009,86.6,cbse,1754,2,B.Tech/B.E.,electronics and communication engineering,72,1754,0,Kerala,2013,695,520,680,0.824666400671332,-1,400,-1,-1,-1,366,-1,0.0464,1.5928,-0.6343,-1.671,0.0284 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engineering,72,11637,0,Madhya Pradesh,2013,495,605,545,0.356536487724475,425,-1,346,-1,-1,-1,-1,-0.6491,0.5008,0.5269,0.53233,0.6603 +train,513266,300000.00,5/1/2013 0:00,present,software test engineer,-1,m,4/1/1990 0:00,86,cbse,2007,85.2,cbse,893,2,B.Tech/B.E.,computer engineering,68.2,893,0,Uttar Pradesh,2012,580,555,705,0.901489571371033,545,-1,-1,-1,-1,-1,-1,0.9737,1.1248,-0.344,-1.3478,0.7788 +train,1094002,325000.00,2/1/2015 0:00,present,systems engineer,chennai,f,9/8/1992 0:00,86.8,cbse,2010,78.6,cbse,13038,2,B.Tech/B.E.,electronics and communication engineering,77.4,13038,0,Rajasthan,2014,570,485,355,0.493596387301038,495,324,-1,-1,-1,-1,-1,0.99,1.5444,-0.6048,-0.4879,0.4805 +train,83285,390000.00,10/1/2010 0:00,12/1/2013 0:00,senior software engineer,Bhubaneswar,m,3/31/1988 0:00,85.2,icse,2006,79.4,icse,911,2,B.Tech/B.E.,information technology,70,911,0,Haryana,2010,585,595,575,0.819416529835888,505,-1,-1,-1,-1,-1,-1,-0.5719,-0.1232,-0.1988,-0.4078,-0.7615 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board,2010,90,state board,4032,2,B.Tech/B.E.,electrical engineering,74.36,4032,0,Andhra Pradesh,2014,595,495,510,0.79293627759454,315,-1,-1,-1,484,-1,-1,1.2772,1.5444,2.1617,-0.1076,0.8637 +train,818479,300000.00,9/1/2014 0:00,present,software engineer,Gurgaon,m,9/29/1992 0:00,85.8,cbse,2010,83,cbse,11898,1,B.Tech/B.E.,electronics and communication engineering,91,11898,0,Madhya Pradesh,2014,555,545,590,0.649389714846691,655,356,-1,-1,-1,-1,-1,-0.159,0.5454,0.4711,-1.1218,-0.6692 +train,933812,310000.00,11/1/2014 0:00,6/1/2014 0:00,system engineer,Mysore,m,1/9/1992 0:00,69,cbse,2010,69,cbse,5298,2,B.Tech/B.E.,electronics and electrical engineering,71,5298,0,Tamil Nadu,2014,510,475,400,0.298769128563994,465,-1,-1,-1,356,-1,-1,1.1336,1.0449,0.7785,-2.3895,-0.2859 +train,1038837,60000.00,5/1/2014 0:00,present,web developer,Howrah,m,9/21/1990 0:00,73,cbse,2008,76,cbse,10930,2,B.Tech/B.E.,information technology,74,10930,1,West Bengal,2013,465,570,415,0.356536487724475,575,-1,346,-1,-1,-1,-1,-1.5953,-0.1206,0.3174,0.2727,-1.4356 +train,1192843,330000.00,3/1/2014 0:00,present,software engineer,Chennai,m,3/24/1992 0:00,85.3,state board,2009,92.2,state board,3629,2,B.Tech/B.E.,electronics and communication engineering,70.24,3629,0,Andhra Pradesh,2013,595,690,465,-1,465,-1,346,-1,-1,-1,-1,-0.3027,-0.6201,-1.2196,-0.3612,-0.4776 +train,296696,325000.00,1/1/2011 0:00,1/1/2015 0:00,maintenance engineer,New Delhi,m,4/25/1988 0:00,58,0,2005,60,0,6835,2,B.Tech/B.E.,electronics and communication engineering,66,6835,0,Uttar Pradesh,2011,345,335,445,0.229481754911755,-1,266,-1,-1,-1,420,-1,-0.9969,-0.2793,0.8171,1.50173,0.3444 +train,1157393,145000.00,9/1/2014 0:00,present,test engineer,New Delhi,m,10/20/1991 0:00,53,state board,2008,62,state board,3579,2,B.Tech/B.E.,electronics and communication engineering,69,3579,0,Uttar Pradesh,2014,500,360,330,0.649389714846691,-1,356,-1,-1,-1,-1,-1,-0.159,-0.1206,0.4711,0.7798,0.6721 +train,1081371,305000.00,5/1/2014 0:00,3/1/2015 0:00,it recruiter,BHUBANESWAR,m,12/23/1992 0:00,85.5,icse,2010,58.2,cbse,7814,2,B.Tech/B.E.,instrumentation and control engineering,63.2,7814,0,Orissa,2014,535,340,380,0.299597296248525,405,-1,-1,-1,-1,-1,-1,-0.159,0.3789,0.9322,-0.995,0.0973 +train,59505,320000.00,3/1/2011 0:00,present,electrical project engineer,Indore,m,9/16/1985 0:00,52.5,up board,2004,51.6,cbse,3200,1,B.Tech/B.E.,electronics and electrical engineering,66.66,3200,1,Delhi,2010,475,445,585,0.538386892985096,405,333,-1,-1,-1,-1,-1,-0.5719,0.3448,-0.0537,1.3549,1.1343 +train,1061300,140000.00,7/1/2014 0:00,3/1/2015 0:00,entry level management trainee,Hyderabad,m,1/12/1993 0:00,88.66,state board,2010,87.5,state board,8818,2,B.Tech/B.E.,information technology,77,8818,1,Telangana,2014,430,385,370,0.144789889482462,485,-1,284,-1,-1,-1,-1,0.4155,0.0459,-0.9122,-0.995,0.2889 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communication engineering,75,119,0,Uttar Pradesh,2014,545,485,545,0.338786347219528,-1,292,-1,-1,-1,366,-1,0.1282,0.2124,-1.527,1.0333,-0.0943 +train,730017,325000.00,2/1/2014 0:00,9/1/2014 0:00,system engineer trainee,Mysore,m,7/26/1989 0:00,73,state board,2008,61,state board,11153,2,B.Tech/B.E.,applied electronics and instrumentation,72,11153,1,West Bengal,2013,555,495,575,0.124502074009537,285,233,-1,-1,-1,-1,-1,-0.7335,0.0459,-0.2974,-0.3612,-0.0943 +train,795013,105000.00,10/1/2014 0:00,present,java developer,Bangalore,m,10/9/1990 0:00,66.5,state board,2007,68.77,state board,12199,2,MCA,computer application,77.04,12199,0,Uttar Pradesh,2014,430,570,470,0.356536487724475,635,-1,346,-1,-1,-1,-1,-0.1982,0.1125,0.6388,1.4136,1.6302 +train,182985,400000.00,8/1/2011 0:00,present,quality assurance test engineer,Bangalore,f,11/9/1987 0:00,73,cbse,2005,71.3,cbse,349,2,M.Tech./M.E.,computer engineering,79.7,349,1,Gujarat,2011,545,665,435,0.901489571371033,545,-1,-1,-1,-1,-1,-1,-1.4992,1.1248,-1.2148,0.1798,0.6603 +train,538185,380000.00,8/1/2013 0:00,present,assistant system engineer,Thane,m,8/17/1991 0:00,84.3,0,2009,86.5,0,6196,2,B.Tech/B.E.,electronics engineering,68.87,6196,0,Maharashtra,2013,580,580,560,0.229481754911755,425,266,-1,-1,-1,286,-1,-1.0355,0.6568,0.8171,0.8848,0.4234 +train,520096,180000.00,7/1/2012 0:00,1/1/2013 0:00,management trainee,Gurgaon,m,10/26/1989 0:00,77.6,cbse,2007,77.8,cbse,70,2,B.Tech/B.E.,computer engineering,72,70,0,Uttar Pradesh,2012,555,620,750,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-0.0696,1.2808,-0.1988,-0.2609,0.3444 +train,87319,1210000.00,10/1/2010 0:00,9/1/2011 0:00,get,Bhopal,m,10/27/1986 0:00,56.4,0,2006,72,0,403,2,B.Tech/B.E.,mechanical engineering,64,403,0,Madhya Pradesh,2010,305,395,455,0.654107474545933,165,-1,-1,420,-1,-1,-1,0.2009,-0.9033,0.3817,0.2973,0.3444 +train,121780,75000.00,10/1/2010 0:00,10/1/2011 0:00,product engineer,Trichur,f,5/18/1989 0:00,92,0,2007,86.29,0,1294,2,B.Tech/B.E.,electronics and communication engineering,77.14,1294,0,Tamil Nadu,2010,485,475,495,0.910770164246022,445,433,-1,-1,-1,-1,-1,-0.4173,1.5928,-0.9245,0.6498,0.3444 +train,843779,335000.00,2/1/2015 0:00,4/1/2015 0:00,programmer analyst trainee,Chennai,m,6/26/1992 0:00,92.4,icse,2010,88.75,icse,577,2,B.Tech/B.E.,computer science & engineering,87.8,577,1,West Bengal,2014,570,445,485,0.486747008438193,545,-1,376,-1,-1,-1,-1,0.1282,-0.2871,1.0859,-0.4879,-0.6692 +train,1003178,180000.00,3/1/2014 0:00,present,technical support engineer,Gurgaon ,m,6/23/1993 0:00,54.6,state board,2010,49.6,state board,16213,2,B.Tech/B.E.,electronics and communication engineering,61.38,16213,0,Uttar Pradesh,2014,335,425,620,0.783303536670298,-1,388,-1,-1,-1,324,-1,0.7027,-0.6201,-1.0659,0.653,-0.6692 +train,1274483,180000.00,1/1/2015 0:00,3/1/2015 0:00,java developer,Mysore,m,8/8/1990 0:00,87,state board,2010,71,state board,14587,2,B.Tech/B.E.,information technology,68,14587,0,Madhya Pradesh,2014,510,495,345,0.842248322257836,445,-1,469,-1,-1,-1,-1,1.5644,1.5444,1.3933,-1.3753,1.0554 +train,669585,345000.00,3/1/2014 0:00,present,sap mm consultant,Bangalore,f,8/22/1992 0:00,73.8,cbse,2009,92.9,state board,7269,2,B.Tech/B.E.,mechanical engineering,71.9,7269,1,Telangana,2013,545,520,545,0.206710618336758,325,-1,-1,313,-1,-1,-1,0.5591,1.0449,1.2396,-0.8682,0.0973 +train,1182658,180000.00,3/1/2015 0:00,4/1/2015 0:00,asp.net developer,New Delhi,m,5/29/1993 0:00,67,state board,2010,50,state board,11759,2,MCA,computer application,55,11759,0,Uttarakhand,2015,335,385,345,0.356536487724475,265,-1,346,-1,-1,-1,-1,0.1282,0.2124,0.7785,0.653,0.8637 +train,143999,200000.00,10/1/2011 0:00,10/1/2012 0:00,design engineer,Ambala,m,5/16/1990 0:00,65,icse,2007,69,cbse,527,2,B.Tech/B.E.,electronics and communication engineering,67.4,527,0,Haryana,2011,415,515,605,0.376059586651545,365,300,-1,-1,-1,-1,-1,-2.272,-1.2153,0.0914,1.0024,-0.2875 +train,831825,315000.00,3/1/2015 0:00,present,associate engineer,Chennai,m,9/2/1992 0:00,73.4,state board,2010,74.4,state board,492,2,B.Tech/B.E.,computer science & engineering,61.2,492,1,Telangana,2014,650,440,445,0.486747008438193,375,-1,376,-1,-1,-1,-1,-0.5899,-1.6191,-0.7585,-0.4879,-3.3518 +train,504497,405000.00,10/1/2012 0:00,6/1/2014 0:00,software engineer,Bangalore,f,11/4/1990 0:00,68.3,stmary's convent inter college,2008,82,lucknow public college,7764,2,B.Tech/B.E.,computer engineering,73.74,7764,0,Uttar Pradesh,2012,615,450,485,0.735795709224656,475,-1,-1,-1,-1,-1,-1,1.7852,1.4368,-0.0537,0.3561,0.3444 +train,1088268,240000.00,4/1/2014 0:00,present,software engineer,Mumbai,m,7/26/1991 0:00,62,state board,2008,60.2,state board,11548,2,B.Tech/B.E.,information technology,68.3,11548,0,Maharashtra,2013,500,580,380,0.486747008438193,485,-1,376,-1,-1,-1,-1,0.7027,-0.2871,1.0859,-1.3753,0.2889 +train,457958,210000.00,12/1/2013 0:00,present,software developer,-1,f,8/12/1990 0:00,70,icse,2008,70,isc,1638,2,B.Tech/B.E.,computer engineering,72,1638,0,Uttar Pradesh,2012,615,445,505,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-1.9629,0.1498,-0.7068,0.0623,0.0284 +train,602340,550000.00,7/1/2013 0:00,5/1/2015 0:00,oracle dba,Hyderabad,f,10/31/1991 0:00,92.2,state board,2009,94.3,state board,11509,1,B.Tech/B.E.,mechanical engineering,88.1,11509,1,Telangana,2013,660,470,810,0.945134855960355,375,-1,-1,526,-1,-1,-1,1.7081,0.3789,0.7785,-0.4879,0.4805 +train,244806,490000.00,7/1/2007 0:00,present,senior engineer,Bangalore,m,10/30/1989 0:00,83.2,sslc,2007,77.33,puc,2634,2,B.Tech/B.E.,electronics and electrical engineering,75.67,2634,1,Karnataka,2011,655,415,485,0.376059586651545,345,300,-1,-1,-1,-1,-1,-0.4173,0.1888,-0.344,-1.4653,-0.6035 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board,64,2,B.Tech/B.E.,information technology,64.29,64,0,Uttar Pradesh,2011,525,505,575,0.901489571371033,545,-1,-1,-1,-1,-1,-1,0.0464,0.3448,-0.344,-0.1727,-0.1295 +train,961017,120000.00,9/1/2014 0:00,2/1/2015 0:00,technical lead,Ambala,m,6/6/1992 0:00,73.8,cbse,2010,60.2,cbse,6907,2,B.Tech/B.E.,computer science & engineering,58,6907,0,Haryana,2014,520,570,485,0.486747008438193,425,-1,376,-1,-1,-1,-1,-2.3134,0.8784,0.01,0.7798,-1.6273 +train,1088210,180000.00,5/1/2013 0:00,5/1/2015 0:00,oracle dba,pune,m,3/28/1991 0:00,77,state board,2008,65,state board,13001,2,B.Tech/B.E.,information technology,65,13001,0,Madhya Pradesh,2012,465,350,310,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-0.3027,-1.7856,-2.4491,-0.4879,-3.1602 +train,1060744,340000.00,7/1/2014 0:00,4/1/2015 0:00,system engineer,Bangalore,f,10/19/1992 0:00,84.5,state board,2010,93.8,state board,14523,2,B.Tech/B.E.,electronics and communication engineering,82,14523,0,Andhra Pradesh,2014,560,545,620,0.943272157866555,435,452,-1,-1,-1,-1,-1,0.8463,1.5444,0.6248,-2.0092,0.4805 +train,1101763,85000.00,9/1/2014 0:00,4/1/2015 0:00,qa trainee,Bangalore,f,7/15/1991 0:00,72.4,cbse,2009,63.6,cbse,13843,2,B.Tech/B.E.,computer science & engineering,65,13843,0,Orissa,2013,290,285,270,0.486747008438193,555,-1,376,-1,-1,-1,-1,-1.4517,-2.6181,-2.2954,-0.4879,-3.9266 +train,1088771,180000.00,10/1/2012 0:00,12/1/2013 0:00,software developer,Noida,m,1/27/1990 0:00,70,state board,2006,62,state board,14852,2,B.Tech/B.E.,information technology,63.3,14852,0,Uttar Pradesh,2012,350,485,485,0.744758354008939,385,-1,438,-1,-1,-1,-1,0.5591,0.5454,-0.1437,0.9066,0.8637 +train,54007,130000.00,12/1/2010 0:00,12/1/2011 0:00,service engineer,New Delhi,m,7/15/1990 0:00,72,uttarakhand board,2006,72,uttarakhand board,6874,2,B.Tech/B.E.,electronics and communication engineering,64.45,6874,0,Uttarakhand,2010,495,245,425,0.376059586651545,385,300,-1,-1,-1,-1,-1,-0.880999999999999,0.1888,-0.1988,-1.2303,0.3444 +train,356526,450000.00,2/1/2014 0:00,4/1/2015 0:00,system engineer,Pune,m,9/18/1989 0:00,83,cbse,2007,71.4,cbse,4368,2,B.Tech/B.E.,computer engineering,68.1,4368,0,Orissa,2012,425,505,515,0.704090412131314,465,-1,-1,-1,-1,-1,-1,1.3215,0.9688,0.0914,0.4442,0.0284 +train,631489,120000.00,7/1/2013 0:00,7/1/2014 0:00,web developer,Indore,m,8/10/1990 0:00,75,state board,2008,73,state board,16687,2,B.Tech/B.E.,information technology,66,16687,0,Madhya Pradesh,2013,360,400,575,0.276047228046856,345,-1,-1,-1,-1,-1,-1,-0.0154,-0.6201,-0.2974,0.5262,-0.0943 +train,629571,220000.00,12/1/2013 0:00,12/1/2014 0:00,shift engineer,Khopoli,m,9/17/1991 0:00,69.53,nagpur divisional board,2009,66.17,nagpur divisional board,11665,2,B.Tech/B.E.,mechanical 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0:00,4/1/2015 0:00,software engineer,Bangalore,m,5/2/1989 0:00,75.4,mp board,2007,85.33,mp board,1622,2,B.Tech/B.E.,electronics and communication engineering,67.11,1622,0,Madhya Pradesh,2012,405,415,395,0.694479327708463,-1,366,-1,-1,-1,-1,-1,-1.1901,-0.1232,0.5269,-0.76027,-0.9984 +train,666182,325000.00,7/1/2014 0:00,4/1/2015 0:00,systems engineer,Pune,m,12/11/1992 0:00,91.1,cbse,2010,92.4,cbse,47,1,B.Tech/B.E.,computer science & engineering,83.55,47,1,Delhi,2014,615,605,650,0.622642915849938,505,-1,407,-1,-1,-1,-1,0.2718,-1.7856,-0.6048,1.6672,-0.2859 +train,786668,215000.00,3/1/2014 0:00,present,electrical engineer,chennai,f,8/9/1992 0:00,83,state board,2009,72.9,state board,11852,2,B.Tech/B.E.,electrical engineering,68.5,11852,0,Andhra Pradesh,2012,360,325,325,0.163630926631106,-1,-1,-1,-1,313,-1,-1,0.4155,-0.2871,-0.4511,0.7798,-0.0943 +train,599552,175000.00,5/1/2013 0:00,9/1/2013 0:00,electrical design engineer,chennai,m,9/1/1991 0:00,87.4,cbse,2009,86.6,cbse,830,2,B.Tech/B.E.,electronics and electrical engineering,78.4,830,1,Tamil Nadu,2013,485,475,620,0.824666400671332,505,400,-1,-1,-1,-1,-1,-0.0154,1.2114,1.0859,-1.2486,0.2889 +train,1289825,180000.00,12/1/2014 0:00,present,software developer,Jaipur,m,8/24/1987 0:00,66.67,state board,2005,57.1,state board,6688,2,MCA,computer application,73,6688,1,Tamil Nadu,2014,370,510,475,0.843123726665742,515,-1,-1,-1,-1,-1,-1,-0.0154,-0.1206,-0.6048,0.0192,-0.6692 +train,624804,345000.00,2/1/2013 0:00,4/1/2015 0:00,data analyst,Chennai ,m,5/19/1989 0:00,56,cbse,2006,58,cbse,4233,2,MCA,computer application,78,4233,0,Tamil Nadu,2013,710,500,470,0.930370607202691,565,-1,-1,-1,-1,-1,-1,0.1282,0.0459,0.7785,2.1743,-0.6692 +train,306561,180000.00,11/1/2011 0:00,11/1/2012 0:00,business development manager,Pune,f,10/28/1989 0:00,82.5,icse,2007,73,hsc,1281,2,B.Tech/B.E.,computer 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0:00,85,state board,2008,67,cbse,9702,2,B.Tech/B.E.,computer engineering,76,9702,0,Haryana,2012,345,560,455,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-0.7651,0.3448,-0.6343,0.6204,-1.0774 +train,244928,120000.00,7/1/2011 0:00,1/1/2012 0:00,project engineer,keral,m,3/26/1988 0:00,73,cgbse raipur,2005,50,cgbse raipur,6567,2,B.Tech/B.E.,electronics & telecommunications,64.86,6567,0,Chhattisgarh,2011,365,325,425,0.229481754911755,325,266,-1,-1,-1,233,-1,-1.4992,-2.3073,-2.0856,-0.1727,-2.8152 +train,1066577,320000.00,8/1/2014 0:00,present,system engineer,Pune,m,10/18/1992 0:00,89.5,state board,2010,73.4,state board,1906,2,B.Tech/B.E.,computer science & engineering,70.06,1906,1,West Bengal,2014,700,505,585,0.486747008438193,485,-1,376,-1,-1,-1,-1,0.2718,0.0459,-1.0659,-2.136,-1.244 +train,1140518,180000.00,10/1/2014 0:00,12/1/2014 0:00,business analyst,Gurgaon,m,2/28/1992 0:00,72,cbse,2010,65,cbse,10932,2,B.Tech/B.E.,electronics and communication engineering,59.8,10932,0,Uttar 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0:00,6/1/2015 0:00,junior research fellow,Roorkee,m,11/7/1993 0:00,90.4,cbse,2009,84.6,cbse,11759,2,B.Tech/B.E.,mechanical engineering,83.5,11759,0,Uttarakhand,2013,430,375,530,0.986525019020638,-1,-1,-1,580,-1,-1,-1,-1.8083,-1.9953,-2.521,1.0747,-2.0253 +train,215595,240000.00,9/1/2013 0:00,12/1/2014 0:00,sales management trainee,Pune,m,4/21/1990 0:00,68.8,icse,2007,68.7,icse,1175,2,B.Tech/B.E.,electronics & telecommunications,67,1175,0,Orissa,2011,545,485,505,0.229481754911755,355,266,-1,-1,-1,-1,-1,0.51,0.8128,0.5269,1.0024,-0.4455 +train,730991,310000.00,11/1/2014 0:00,present,network security engineer,Kolkata,m,10/7/1990 0:00,81.5,state board,2009,80.2,state board,11160,2,B.Tech/B.E.,computer science & engineering,82,11160,1,West Bengal,2013,430,510,415,0.342314899911815,365,-1,-1,-1,-1,-1,-1,0.7027,-1.1196,-0.1437,0.3995,0.2889 +train,435437,410000.00,9/1/2011 0:00,3/1/2014 0:00,systems engineer,Hyderabad,m,7/28/1990 0:00,91.5,0,2007,98.7,0,492,2,B.Tech/B.E.,electronics and 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board,2009,95.3,state board,9769,2,B.Tech/B.E.,computer science & engineering,79.6,9769,1,Telangana,2013,510,585,650,0.765673581234011,485,-1,-1,-1,-1,-1,-1,0.5591,1.0449,0.4711,-1.7556,0.0973 +train,1266498,210000.00,8/1/2014 0:00,3/1/2015 0:00,management trainee,Mumbai,m,4/21/1993 0:00,91.53,state board,2010,71.17,state board,3291,1,B.Tech/B.E.,mechanical engineering,60.7,3291,1,Maharashtra,2014,545,615,820,0.59828069148683,-1,-1,315,407,-1,-1,-1,0.5591,1.0449,-0.2974,-1.6289,0.6721 +train,1150694,240000.00,4/1/2014 0:00,4/1/2015 0:00,java developer,Hyderabad,m,8/14/1991 0:00,87.33,state board,2008,93.7,state board,13994,2,B.Tech/B.E.,electronics and communication engineering,74.64,13994,0,Andhra Pradesh,2012,475,570,585,0.338786347219528,635,292,-1,-1,-1,-1,-1,1.5644,1.7109,2.1617,-2.136,-0.0943 +train,552307,450000.00,7/1/2013 0:00,3/1/2015 0:00,software developer,-1,m,2/2/1991 0:00,86,icse,2008,73,icse,121,1,B.Tech/B.E.,information 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Pradesh,2013,395,425,590,0.755375120895548,-1,-1,-1,446,-1,-1,-1,-0.159,0.3789,0.1637,1.5404,-0.0943 +train,1087364,325000.00,2/1/2014 0:00,4/1/2015 0:00,system engineer,Pune,f,8/30/1991 0:00,83,cbse,2009,73,cbse,7627,2,B.Tech/B.E.,electronics and communication engineering,67,7627,0,Uttar Pradesh,2013,595,625,560,0.338786347219528,405,292,-1,-1,-1,-1,-1,-0.3027,0.7119,1.3933,-2.3895,0.6721 +train,330544,200000.00,3/1/2013 0:00,6/1/2014 0:00,mechanical design engineer,Nasikcity,m,2/25/1991 0:00,77,state board,2008,75,state board,9837,2,B.Tech/B.E.,mechanical engineering,65.42,9837,1,Telangana,2012,425,415,375,0.0684457505037512,-1,-1,-1,254,-1,-1,-1,1.4374,1.1248,1.2525,0.53233,0.4234 +train,1230200,300000.00,12/1/2014 0:00,4/1/2015 0:00,associate software engineer,Bangalore,m,7/12/1990 0:00,65,state board,2008,65.4,state board,1887,1,B.Tech/B.E.,computer science & engineering,67.72,1887,0,Uttar 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Pradesh,2012,450,450,705,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-1.1128,-1.0593,-0.7794,1.3255,-1.5513 +train,1037128,350000.00,7/1/2013 0:00,1/1/2014 0:00,java software engineer,Hyderabad ,m,6/20/1992 0:00,88.2,cbse,2009,91,state board,12949,1,B.Tech/B.E.,computer science & engineering,75.7,12949,1,Telangana,2013,720,510,655,0.486747008438193,525,-1,376,-1,-1,-1,-1,-0.4463,-0.6201,-0.1437,0.1459,-2.5853 +train,623192,380000.00,2/1/2014 0:00,present,software test engineer (etl),-1,m,4/10/1990 0:00,80.63,state board,2008,72.4,state board,6851,2,B.Tech/B.E.,computer engineering,73.3,6851,0,West Bengal,2013,325,485,515,0.308400582860308,355,-1,-1,-1,-1,-1,-1,-0.3027,1.0449,1.547,1.6672,-0.2859 +train,662630,220000.00,7/1/2014 0:00,4/1/2015 0:00,sales executive,-1,m,11/20/1991 0:00,56,cbse,2009,63,cbse,9072,2,B.Tech/B.E.,electronics & telecommunications,65,9072,0,Orissa,2013,404,495,405,0.279258511565122,255,-1,-1,-1,-1,292,-1,0.2718,-0.9531,0.4711,-1.1218,-1.0524 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Pradesh,2014,485,510,560,0.338786347219528,365,292,-1,-1,-1,-1,-1,1.1336,1.2114,1.7007,-2.0092,1.247 +train,604370,300000.00,10/1/2013 0:00,8/1/2013 0:00,business analyst,Gurgaon,m,4/27/1992 0:00,81.5,cbse,2009,85,cbse,6920,1,B.Tech/B.E.,electronics and communication engineering,69,6920,1,Delhi,2013,675,670,840,0.376059586651545,415,300,-1,-1,-1,393,-1,-0.0154,0.8784,1.3933,0.3995,0.6721 +train,1284328,245000.00,6/1/2015 0:00,present,software developer,Greater Noida,m,5/3/1992 0:00,72,cbse,2011,62.8,cbse,17782,2,B.Tech/B.E.,electronics and communication engineering,60.4,17782,0,Uttarakhand,2015,490,455,495,0.881620069530177,435,420,-1,-1,-1,-1,-1,0.7027,-1.1196,0.3174,1.1601,-1.8189 +train,202864,480000.00,4/1/2012 0:00,present,software engineer,Bangalore,m,6/25/1988 0:00,84.5,secondary school of education,2005,93.6,"board of intermediate education,ap",3174,2,MCA,computer application,77,3174,0,Andhra Pradesh,2011,435,505,615,0.600057182338341,435,-1,-1,-1,-1,-1,-1,0.0464,0.5008,-0.0537,0.0623,0.1864 +train,786421,365000.00,4/1/2014 0:00,present,software test engineer,Hyderabad ,m,4/27/1992 0:00,91.5,ssc,2009,88.5,board of intermediate education,11788,2,B.Tech/B.E.,electronics and communication engineering,67.3,11788,0,Andhra Pradesh,2013,430,495,720,0.338786347219528,365,292,-1,-1,-1,-1,-1,-1.1644,-1.6191,-0.7585,-0.6147,-2.3937 +train,768298,1500000.00,6/1/2015 0:00,6/1/2015 0:00,software engineer,Bangalore,m,8/17/1993 0:00,90.2,cbse,2011,84.8,cbse,229,1,B.Tech/B.E.,computer engineering,66.23,229,1,Maharashtra,2015,545,670,680,0.842248322257836,725,-1,469,-1,-1,-1,-1,-0.4463,1.2114,1.0859,-0.8682,0.4805 +train,914312,370000.00,5/1/2014 0:00,present,qa analyst,Gurgaon,m,2/27/1992 0:00,79,icse,2010,78,cbse,14351,2,B.Tech/B.E.,electronics and communication engineering,66,14351,0,Punjab,2014,570,555,665,0.881620069530177,335,420,-1,-1,-1,-1,-1,1.2772,1.3779,1.0859,-1.2486,1.247 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board,55,2,MCA,computer application,78.61,55,0,Uttar Pradesh,2014,335,465,385,0.622642915849938,355,-1,407,-1,-1,-1,-1,0.7027,0.3789,0.1637,0.9066,-0.0943 +train,222981,400000.00,6/1/2011 0:00,present,system engineer,Gurgaon,f,3/20/1989 0:00,90.8,0,2007,84.2,0,5403,2,B.Tech/B.E.,electronics and communication engineering,84,5403,0,Rajasthan,2011,575,665,605,0.0587928000083534,-1,200,-1,-1,-1,260,-1,-0.4173,0.1888,0.3817,-0.0552,0.9763 +train,1105796,300000.00,1/1/2015 0:00,4/1/2015 0:00,web developer,Noida,m,9/20/1991 0:00,74.7,state board,2010,73,cbse,1759,2,B.Tech/B.E.,computer science & engineering,76,1759,0,Punjab,2014,440,530,390,0.744758354008939,585,-1,438,-1,-1,-1,-1,-1.5953,0.3789,0.3174,0.2727,0.4805 +train,266839,600000.00,6/1/2011 0:00,present,senior software developer,Chennai,m,5/23/1990 0:00,85,matriculation,2007,89,tamil nadu state board,3076,2,B.Tech/B.E.,electronics and electrical engineering,70,3076,0,Tamil 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0:00,present,software developer,New Delhi,m,3/15/1991 0:00,72,state board,2010,71,state board,7557,2,B.Tech/B.E.,computer science & engineering,72.46,7557,1,Delhi,2014,475,360,570,0.563267823666597,425,-1,-1,-1,-1,-1,-1,0.5591,1.0449,0.9322,-0.1076,0.0973 +train,30768,450000.00,1/1/2011 0:00,9/1/2014 0:00,system engineer,-1,f,1/17/1988 0:00,85.66,icse,2006,82,isc,44,2,B.Tech/B.E.,computer engineering,75,44,0,Uttar Pradesh,2010,485,645,635,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-2.272,-0.1232,-2.8113,0.0623,0.0284 +train,1051982,210000.00,12/1/2014 0:00,present,junior engineer,Chennai,m,10/10/1992 0:00,88.6,state board,2010,74.16,state board,7919,2,B.Tech/B.E.,information technology,73.1,7919,0,Tamil Nadu,2014,420,445,415,0.744758354008939,415,-1,438,-1,-1,-1,-1,0.99,0.3789,0.4711,-1.5021,0.8637 +train,814610,180000.00,10/1/2013 0:00,3/1/2015 0:00,maintenance engineer,-1,m,2/5/1992 0:00,76.8,bihar school examination board patna,2008,64,bihar school examination board patna,6946,2,B.Tech/B.E.,electrical engineering,70.44,6946,0,Bihar,2013,360,585,575,0.557389505646088,-1,-1,-1,-1,420,-1,-1,0.2718,1.5444,1.7007,-1.8824,1.0554 +train,794269,325000.00,7/1/2014 0:00,present,systems engineer,Pune,m,9/26/1992 0:00,82,cbse,2010,80,cbse,8350,2,B.Tech/B.E.,electronics and communication engineering,73,8350,0,Uttar Pradesh,2014,590,555,590,0.783303536670298,-1,388,-1,-1,-1,-1,-1,-0.4463,0.5454,0.6248,-0.2344,0.6721 +train,1098733,300000.00,6/1/2014 0:00,1/1/2015 0:00,software developer,noida,f,12/19/1993 0:00,85,cbse,2010,80,cbse,186,2,B.Tech/B.E.,computer science & engineering,74,186,0,Haryana,2014,605,580,595,0.911395278391328,675,-1,500,-1,-1,-1,-1,-0.159,0.0459,-0.7585,-1.3753,0.4805 +train,100918,600000.00,11/1/2010 0:00,present,senior quality engineer,Hyderabad,m,1/2/1989 0:00,87.87,0,2006,93.9,0,499,2,B.Tech/B.E.,electronics and communication 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technology,63.5,1920,0,Uttar Pradesh,2014,335,530,575,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-0.7335,-0.2871,0.3174,1.794,0.0973 +train,34551,1100000.00,6/1/2010 0:00,present,design engineer,Greater Noida,m,7/30/1988 0:00,83.69,pseb,2006,76.67,pseb,285,1,B.Tech/B.E.,electronics and communication engineering,95.7,285,0,Punjab,2010,495,615,725,0.694479327708463,615,366,-1,-1,-1,-1,-1,-1.4992,0.3448,-0.0537,-0.7603,0.5024 +train,1258521,225000.00,2/1/2015 0:00,present,application developer,Allahabad,f,9/27/1992 0:00,67,state board,2010,77,state board,1875,2,B.Tech/B.E.,electronics and communication engineering,74.6,1875,0,Uttar Pradesh,2014,335,495,475,-1,-1,-1,-1,-1,-1,-1,-1,-0.0154,-0.4536,0.7785,0.0192,-0.4776 +train,32034,300000.00,4/1/2011 0:00,4/1/2014 0:00,software developer,New Delhi,m,1/25/1982 0:00,75.2,cbse,1999,61.2,cbse,47,1,B.Tech/B.E.,computer engineering,62,47,1,Delhi,2010,575,554,615,0.974396112538398,615,-1,-1,-1,-1,-1,-1,-1.6538,-0.9033,-0.7794,-0.1727,-1.2354 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board,12949,1,B.Tech/B.E.,electronics and communication engineering,78,12949,1,Telangana,2014,615,610,510,-1,545,-1,-1,-1,-1,-1,-1,-0.0154,0.3789,0.3174,0.1459,-0.2859 +train,513495,225000.00,7/1/2012 0:00,10/1/2014 0:00,software test engineer,Gurgaon,f,8/25/1990 0:00,72,cbse,2008,59,cbse,6741,2,B.Tech/B.E.,information technology,68,6741,0,Rajasthan,2012,545,525,150,0.245455659999829,335,-1,-1,-1,-1,-1,-1,-1.6538,-0.4353,-0.0537,1.5899,-1.8673 +train,267354,120000.00,2/1/2012 0:00,10/1/2013 0:00,quality analyst,Noida,m,8/5/1988 0:00,50,board of school education harayana,2008,64,state board of technical education harayana,7564,2,B.Tech/B.E.,electronics and communication engineering,70,7564,0,Haryana,2011,345,365,445,0.538386892985096,-1,333,-1,-1,-1,-1,-1,-0.4173,-1.3713,0.9042,1.5578,0.3444 +train,449905,455000.00,6/1/2013 0:00,5/1/2015 0:00,software engineer,Delhi/NCR,f,10/12/1990 0:00,78,cbse,2008,79.4,cbse,4450,2,B.Tech/B.E.,computer engineering,76.76,4450,0,Uttar Pradesh,2012,465,575,625,0.864685413370085,525,-1,-1,-1,-1,-1,-1,1.2828,0.7348,0.0552,-0.0552,-0.9194 +train,910160,195000.00,1/1/2014 0:00,present,software engineer,Kochi/Cochin,m,5/21/1993 0:00,78.2,state board,2010,76,state board,4042,2,B.Tech/B.E.,computer science & engineering,74,4042,0,Tamil Nadu,2014,475,555,650,0.842248322257836,575,-1,469,-1,-1,-1,-1,0.4155,0.7119,0.7785,-2.3895,0.6721 +train,999058,380000.00,3/1/2014 0:00,3/1/2015 0:00,system engineer,-1,m,9/12/1991 0:00,92.5,state board,2009,80.2,state board,8559,1,B.Tech/B.E.,electronics and communication engineering,75,8559,1,West Bengal,2013,615,495,750,0.976292560913216,475,484,-1,-1,-1,-1,-1,-1.5953,0.8784,0.3174,-0.3612,0.4805 +train,996645,320000.00,10/1/2014 0:00,4/1/2015 0:00,programmer analyst,Chennai,m,8/18/1992 0:00,73,state board,2009,73,state board,17470,2,B.Tech/B.E.,computer science & engineering,73,17470,0,Tamil 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0:00,present,test engineer,Bangalore,m,11/26/1984 0:00,87.58,0,2002,82.71,0,519,2,MCA,computer application,77.36,519,1,Tamil Nadu,2010,475,575,535,0.525922584252055,415,-1,-1,-1,-1,-1,-1,-0.5719,-0.1232,-0.0537,0.0623,-0.6035 +train,293843,110000.00,11/1/2011 0:00,1/1/2013 0:00,automation engineer,Pune,m,2/8/1987 0:00,58.8,cbse board,2004,65.5,maharashtra board,477,2,B.Tech/B.E.,electronics engineering,51,477,1,Maharashtra,2011,545,435,485,0.538386892985096,-1,333,-1,-1,-1,-1,-1,-0.4173,0.6568,0.8171,-0.9953,-0.7615 +train,1035883,280000.00,4/1/2014 0:00,present,software engineer,Pune,m,3/28/1990 0:00,62,state board,2007,73.8,state board,7869,2,B.Tech/B.E.,computer science & engineering,70.3,7869,0,Uttar Pradesh,2013,385,570,690,0.144789889482462,595,-1,284,-1,-1,-1,-1,-1.4517,-2.2851,-1.0659,0.1459,-2.9686 +train,541114,140000.00,8/1/2011 0:00,1/1/2012 0:00,network engineer,Hyderabad,m,9/27/1989 0:00,66,up board,2006,66.66,up board,2540,2,B.Tech/B.E.,computer 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0:00,91,"sslc,karnataka",2006,85,pre-university,182,2,B.Tech/B.E.,electronics and communication engineering,74,182,1,Karnataka,2010,465,495,485,0.376059586651545,385,300,-1,-1,-1,-1,-1,-0.2628,0.5008,-0.1988,-1.4653,0.0284 +train,654826,380000.00,3/1/2014 0:00,present,system engineer,Chennai,m,6/1/1992 0:00,88,state board,2009,90.03,state board,13423,2,B.Tech/B.E.,computer science & engineering,79.52,13423,0,Tamil Nadu,2013,485,655,735,0.992259189330951,665,-1,-1,-1,-1,-1,-1,-0.5899,-1.4526,-1.2196,-0.7415,-1.0524 +train,542950,145000.00,11/1/2013 0:00,6/1/2013 0:00,sales engineer,Gurgaon,m,8/21/1991 0:00,66.5,state board,2008,66.4,state board,172,2,B.Tech/B.E.,electrical engineering,66,172,0,Uttar Pradesh,2013,500,560,560,0.376059586651545,-1,300,-1,-1,-1,-1,-1,-0.5719,0.8351,0.2477,-0.6428,-0.4455 +train,1261333,300000.00,7/1/2014 0:00,5/1/2015 0:00,management trainee,Pune,m,5/16/1992 0:00,86.5,state board,2010,82.5,state board,473,2,B.Tech/B.E.,information 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0:00,present,java developer,-1,m,2/16/1989 0:00,62.88,state,2006,77.5,state,315,2,B.Tech/B.E.,information technology,70,315,1,Karnataka,2010,455,515,405,0.884122511593735,535,-1,-1,-1,-1,-1,-1,-0.4173,-0.1232,-0.344,-0.7603,0.6603 +train,222586,360000.00,10/1/2011 0:00,2/1/2014 0:00,programmer analyst,Pune,f,3/20/1989 0:00,84,0,2007,80,0,1921,2,B.Tech/B.E.,computer engineering,74.3,1921,0,Uttar Pradesh,2011,524,555,565,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-0.5719,1.5928,1.2525,-0.5253,0.5024 +train,902378,275000.00,12/1/2014 0:00,present,project engineer,Bangalore,m,8/10/1992 0:00,85.6,cbse,2010,80.4,cbse,3918,2,B.Tech/B.E.,computer science & engineering,68.71,3918,1,Karnataka,2014,545,620,650,0.953899775079926,475,-1,530,-1,-1,-1,-1,-0.4463,0.0459,0.4711,0.3995,-1.0524 +train,431847,325000.00,11/1/2013 0:00,9/1/2014 0:00,technical support engineer,Noida,m,7/16/1990 0:00,85,cbse,2008,68.6,cbse,5232,2,B.Tech/B.E.,computer 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0:00,67.8,cbse,2008,65.6,cbse,400,1,B.Tech/B.E.,other,79.8,400,0,Madhya Pradesh,2013,485,465,545,-1,565,-1,346,-1,-1,-1,-1,0.7027,0.2124,-1.527,-0.6147,-1.0524 +train,308687,120000.00,9/1/2011 0:00,8/1/2012 0:00,software developer,Noida,m,10/16/1986 0:00,63.8,uttar pradesh,2004,63,uttar pradesh,49,1,B.Tech/B.E.,computer engineering,61.46,49,0,Uttar Pradesh,2010,595,495,605,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-1.6538,1.2808,1.3977,0.7673,0.9763 +train,651807,600000.00,7/1/2013 0:00,present,software engineer,Bangalore,m,7/31/1991 0:00,84,icse,2009,87,icse,3356,2,B.Tech/B.E.,computer science & engineering,78.5,3356,1,Karnataka,2013,780,630,650,0.735795709224656,475,-1,-1,-1,-1,-1,-1,-0.7335,0.2124,-0.2974,0.1459,-0.8608 +train,190911,700000.00,6/1/2011 0:00,present,senior software developer,-1,m,11/1/1986 0:00,69.33,up board,2003,63,up board,11157,1,MCA,computer 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engineering,71.66,3934,0,Tamil Nadu,2014,370,520,415,0.536782666535172,415,-1,-1,-1,-1,-1,356,-0.159,-0.4536,-1.3733,0.0192,-0.0943 +train,814931,145000.00,1/1/2013 0:00,11/1/2013 0:00,service engineer,Kolkata,m,2/8/1990 0:00,71,state board,2008,74.2,state board,1375,2,B.Tech/B.E.,electronics and communication engineering,81.4,1375,1,West Bengal,2012,660,485,415,0.207392169717661,-1,260,-1,-1,-1,-1,-1,-0.159,1.2114,-0.7585,0.7798,0.6721 +train,836769,180000.00,9/1/2013 0:00,present,software developer,-1,m,12/11/1990 0:00,66,state board,2008,58,state board,11584,2,B.Tech/B.E.,computer science & engineering,64,11584,0,Maharashtra,2012,475,510,385,0.486747008438193,455,-1,376,-1,-1,-1,-1,0.1282,-0.4536,-0.9122,-0.4879,0.4805 +train,582410,350000.00,2/1/2014 0:00,present,java software engineer,Pune,m,7/4/1990 0:00,81,cbse,2008,85,cbse,8195,1,B.Tech/B.E.,electronics and communication 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0:00,92.6,cbse,2009,89.9,cbse,9019,2,B.Tech/B.E.,computer engineering,82.27,9019,0,Haryana,2013,730,620,590,0.942116551485008,575,-1,-1,-1,-1,-1,-1,0.8463,1.2114,0.9322,-0.1076,1.0554 +train,339763,120000.00,10/1/2012 0:00,5/1/2013 0:00,seo analyst,Noida,f,5/8/1990 0:00,81.6,cbse,2008,72,cbse,11368,2,B.Tech/B.E.,information technology,73.84,11368,0,Uttar Pradesh,2012,495,615,435,0.735795709224656,475,-1,-1,-1,-1,-1,-1,0.51,-0.4353,-0.6343,0.00352999999999999,0.5024 +train,913574,310000.00,3/1/2015 0:00,present,software test engineer,Chennai,m,4/10/1993 0:00,86.5,state board,2010,90.7,state board,15022,1,B.Tech/B.E.,electronics and communication engineering,60.9,15022,0,Tamil Nadu,2014,395,325,310,0.77657832422745,-1,-1,-1,-1,366,393,-1,0.4155,-0.1206,0.9322,0.653,0.0973 +train,642997,110000.00,7/1/2013 0:00,4/1/2014 0:00,asp.net developer,Noida,m,6/17/1992 0:00,86,cbse,2009,65,cbse,6874,2,B.Tech/B.E.,information technology,61,6874,0,Uttarakhand,2013,615,545,750,0.635978756456794,445,-1,-1,-1,-1,-1,-1,0.99,1.5444,0.1637,-0.7415,1.0554 +train,1244355,325000.00,8/1/2014 0:00,present,software engineer,-1,m,6/8/1992 0:00,88.2,cbse,2010,80.8,cbse,15866,2,B.Tech/B.E.,computer science & engineering,70,15866,0,Haryana,2014,735,595,545,0.999910407631314,535,-1,715,-1,-1,-1,-1,1.9953,1.0449,-0.1437,-2.3895,0.2889 +train,716346,500000.00,1/1/2013 0:00,present,software developer,-1,m,9/5/1990 0:00,70.6,cbse,2007,81.6,cbse,6688,2,B.Tech/B.E.,information technology,81.8,6688,1,Tamil Nadu,2012,675,545,680,0.843123726665742,515,-1,-1,-1,-1,-1,-1,-0.0154,-1.6191,-1.6807,1.9207,1.0554 +train,78868,425000.00,3/1/2011 0:00,5/1/2014 0:00,senior software engineer,Bangalore,f,4/19/1988 0:00,69.4,cbse,2006,60,cbse,137,2,B.Tech/B.E.,electronics & instrumentation eng,65.6,137,0,Uttar Pradesh,2010,355,415,555,0.229481754911755,-1,266,-1,-1,-1,-1,-1,0.3555,0.3448,-0.0537,0.0623,0.0284 +train,1289699,315000.00,11/1/2014 0:00,present,software engineer,Bangalore,m,8/29/1992 0:00,83.8,cbse,2010,65.6,cbse,4432,2,B.Tech/B.E.,information technology,61,4432,0,Uttar Pradesh,2014,605,625,575,0.842248322257836,645,-1,469,-1,-1,-1,-1,0.8463,1.0449,1.2396,-1.2486,0.6721 +train,471444,180000.00,12/1/2013 0:00,present,assistant manager,New Delhi,m,4/28/1991 0:00,82,cbse,2009,81,cbse,57,2,B.Tech/B.E.,electronics and communication engineering,64,57,0,Haryana,2013,435,475,475,0.985461394326131,305,500,-1,-1,-1,446,-1,-1.6924,-0.2793,-0.6343,0.3561,0.1864 +train,284570,180000.00,8/1/2012 0:00,7/1/2013 0:00,management trainee,New Delhi,m,9/22/1989 0:00,75.8,cbse,2007,57.8,cbse,3649,2,B.Tech/B.E.,electronics and communication engineering,61,3649,1,Karnataka,2011,455,415,395,0.124502074009537,355,233,-1,-1,-1,286,-1,-1.1901,-0.9033,-0.4891,0.6498,-0.1295 +train,898730,320000.00,10/1/2014 0:00,present,software test engineer,Bangalore,m,1/25/1992 0:00,88.8,cbse,2009,82,cbse,28,2,B.Tech/B.E.,electronics and communication 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developer,Bangalore,m,1/14/1992 0:00,73,icse,2009,77,cbse,11759,2,B.Tech/B.E.,electronics and communication engineering,79.67,11759,0,Uttarakhand,2013,475,585,515,0.229481754911755,-1,266,-1,-1,-1,-1,-1,0.51,0.8128,-1.0697,-0.4371,0.1864 +train,365974,400000.00,11/1/2012 0:00,present,software engineer,Bangalore,m,7/22/1989 0:00,77.33,0,2007,77.4,0,3801,2,B.Tech/B.E.,electronics and electrical engineering,77,3801,0,Karnataka,2012,645,575,615,0.376059586651545,415,300,-1,-1,-1,-1,-1,0.8192,0.8518,1.1437,0.8848,0.0284 +train,182616,275000.00,7/1/2011 0:00,1/1/2014 0:00,senior php developer,Lucknow,m,9/26/1990 0:00,54,cbse,2007,53,cbse,429,2,B.Tech/B.E.,information technology,73,429,0,Uttar Pradesh,2011,475,495,575,0.563267823666597,425,-1,-1,-1,-1,-1,-1,-1.9629,-0.2793,-0.6343,-0.2902,0.1864 +train,425547,300000.00,4/1/2013 0:00,present,system engineer,Greater Noida,m,11/1/1990 0:00,69.2,cbse,2008,71.2,cbse,75,2,B.Tech/B.E.,electronics and communication engineering,67.46,75,0,Uttar 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0:00,81.6,0,2007,61.4,0,3918,2,B.Tech/B.E.,information technology,76.86,3918,1,Karnataka,2012,565,585,684,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-1.3447,-0.9033,-0.8157,-0.0552,-1.7093 +train,637623,180000.00,8/1/2013 0:00,4/1/2014 0:00,project engineer,vapi,m,10/14/1991 0:00,75.66,state board,2009,76.66,state board,4415,2,B.Tech/B.E.,electronics and electrical engineering,76.5,4415,1,Telangana,2014,510,525,545,0.966006923498049,395,-1,-1,-1,580,-1,-1,-1.7389,-2.1186,-1.2196,-0.4879,-1.6273 +train,335938,300000.00,11/1/2012 0:00,5/1/2014 0:00,test engineer,Bangalore,f,9/10/1991 0:00,86.7,board of secondary education,2008,89,board of intermediate education,3174,2,B.Tech/B.E.,computer engineering,72,3174,0,Andhra Pradesh,2012,675,475,565,0.450876584483451,395,-1,-1,-1,-1,-1,-1,-0.2628,0.6178,-0.3803,1.70743,0.3444 +train,833130,180000.00,1/1/2014 0:00,12/1/2014 0:00,technical support engineer,New Delhi,m,11/8/1992 0:00,79,cbse,2009,69.3,madhya pradesh open 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0:00,present,software test engineer,Bangalore,f,2/9/1990 0:00,94.4,0,2008,87,0,1866,2,B.Tech/B.E.,electronics & telecommunications,80.9,1866,1,Karnataka,2012,625,585,465,0.655766942617211,-1,-1,-1,-1,-1,366,-1,-0.3014,0.5008,-0.4891,-0.17277,-0.4455 +train,265130,450000.00,2/1/2013 0:00,4/1/2015 0:00,senior engineer,Pune,f,1/5/1988 0:00,72.16,seba,2006,57.8,ahsec,3683,2,B.Tech/B.E.,computer engineering,63.96,3683,0,Maharashtra,2011,455,525,415,0.525922584252055,415,-1,-1,-1,-1,-1,-1,0.3555,0.0328,-0.0537,-0.7603,0.3444 +train,99769,420000.00,1/1/2011 0:00,7/1/2012 0:00,.net developer,Hyderabad,m,10/30/1989 0:00,88,ssc,2006,93.5,bie,951,2,B.Tech/B.E.,computer engineering,72.56,951,1,Telangana,2010,495,575,645,0.952245572924303,585,-1,-1,-1,-1,-1,-1,-1.9629,0.5008,-0.4891,-0.5253,-0.1295 +train,711329,375000.00,8/1/2013 0:00,present,associate software engineer,Noida,f,7/31/1992 0:00,80.2,cbse,2009,74.8,cbse,184,2,B.Tech/B.E.,information technology,78.31,184,0,Uttar 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0:00,6/1/2015 0:00,electrical engineer,Bangalore,m,7/28/1992 0:00,90.56,state board,2010,87.83,state board,276,2,B.Tech/B.E.,electronics and electrical engineering,69.96,276,1,Karnataka,2014,475,455,430,0.966006923498049,-1,-1,284,-1,580,-1,-1,-0.159,0.0459,-0.1437,-0.7415,0.4805 +train,282011,550000.00,7/1/2011 0:00,11/1/2014 0:00,engineering technician,sambalpur,f,6/25/1990 0:00,70.3,up board,2007,63.2,up board,4450,2,B.Tech/B.E.,mechanical engineering,66.6,4450,0,Uttar Pradesh,2011,375,435,485,0.840840968763718,-1,-1,-1,473,-1,-1,-1,-0.2628,0.8128,1.3977,1.0024,0.3444 +train,644973,95000.00,4/1/2014 0:00,present,technical engineer,kolkata,m,1/15/1991 0:00,76.2,cbse,2009,68.3,cbse,13388,2,B.Tech/B.E.,electronics and communication engineering,63,13388,0,Madhya Pradesh,2013,580,435,385,0.538386892985096,-1,333,-1,-1,-1,-1,-1,-2.7443,-1.6191,-1.0659,0.1459,-2.2021 +train,670620,310000.00,12/1/2013 0:00,present,java software engineer,Navi Mumbai,m,8/20/1991 0:00,63.4,state board,2008,66.6,state board,67,2,B.Tech/B.E.,computer science & engineering,64,67,0,Uttar Pradesh,2013,580,560,575,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-1.0208,0.0459,0.1637,0.9066,0.4805 +train,801323,350000.00,6/1/2014 0:00,present,software quality assurance tester,Pune,m,2/17/1992 0:00,78.6,cbse,2009,74.8,cbse,8762,2,B.Tech/B.E.,computer science & engineering,73.8,8762,0,Punjab,2014,520,525,485,0.842248322257836,505,-1,469,-1,-1,-1,-1,-0.0154,0.8784,0.9322,0.3995,1.247 +train,1002611,325000.00,11/1/2014 0:00,present,systems engineer,Hyderabad,m,9/9/1992 0:00,89.17,state board,2010,96,state board,1343,2,B.Tech/B.E.,mechanical engineering,84.9,1343,0,Andhra Pradesh,2014,490,570,665,0.996535528573975,385,-1,-1,623,-1,-1,-1,0.1282,0.5454,-0.4511,-1.6289,0.6721 +train,41579,370000.00,7/1/2012 0:00,present,software developer,Navi Mumbai,f,9/23/1988 0:00,81.2,ssc,2006,76.3,hsc,388,2,MCA,computer application,99,388,1,Maharashtra,2012,405,385,485,0.600057182338341,435,-1,-1,-1,-1,-1,-1,-0.1082,0.5008,-0.1626,1.1199,-0.9194 +train,543741,460000.00,1/1/2013 0:00,present,java software engineer,Noida,f,5/30/1988 0:00,81,cbse,2007,84,cbse,55,2,MCA,computer application,78,55,0,Uttar Pradesh,2013,520,535,545,0.793580614548506,495,-1,-1,-1,-1,-1,-1,-0.4173,-0.5523,-0.7068,-0.4078,-0.2875 +train,803471,225000.00,1/1/2014 0:00,present,technical support engineer,Bangalore,m,3/21/1992 0:00,89.2,cbse,2010,69,cbse,11790,2,B.Tech/B.E.,computer science & engineering,67.2,11790,0,Himachal Pradesh,2014,500,520,355,0.0800552813405495,275,-1,253,-1,-1,-1,-1,-1.4517,-1.4526,0.4711,1.6672,-0.0943 +train,1156529,100000.00,10/1/2013 0:00,3/1/2014 0:00,software developer,Jaipur,m,7/14/1991 0:00,79.67,state board,2008,72.67,state board,7543,2,B.Tech/B.E.,computer science & engineering,69.53,7543,1,Rajasthan,2013,525,425,570,0.622642915849938,585,-1,407,-1,-1,-1,-1,-0.0154,-0.6201,0.3174,1.2869,0.2889 +train,1042501,85000.00,8/1/2014 0:00,4/1/2015 0:00,quality consultant,Kolkata,f,11/23/1991 0:00,72.5,state board,2009,67,state board,7685,2,B.Tech/B.E.,electronics and instrumentation engineering,75.3,7685,1,West Bengal,2013,510,470,405,-1,-1,-1,-1,-1,-1,-1,-1,1.2772,1.5444,0.9322,-1.1218,0.8637 +train,530061,300000.00,9/1/2014 0:00,present,engineer trainee,Bangalore,f,7/18/1991 0:00,78,cbse,2009,69,cbse,11759,2,B.Tech/B.E.,electronics and communication engineering,78,11759,0,Uttarakhand,2013,535,350,515,0.0587928000083534,-1,200,-1,-1,-1,-1,-1,-0.880999999999999,-2.3073,-1.6502,0.5323,-3.6051 +train,379339,400000.00,12/1/2012 0:00,2/1/2013 0:00,associate software engineer,Noida,m,11/23/1988 0:00,63.2,cbse,2007,63.2,cbse,10846,1,B.Tech/B.E.,information technology,66,10846,0,Uttar Pradesh,2012,495,395,585,0.23780283983757,485,-1,315,-1,-1,-1,-1,-0.7335,-1.6191,-1.3733,0.3995,-1.4356 +train,267047,150000.00,12/1/2013 0:00,9/1/2014 0:00,asp.net developer,Noida,m,7/7/1985 0:00,62,hbse,2004,59.4,hbse,7564,2,B.Tech/B.E.,information technology,60,7564,0,Haryana,2011,365,365,395,0.165633091512476,305,-1,-1,-1,-1,-1,-1,-0.5719,-1.5273,-0.344,1.3549,-1.2354 +train,989810,180000.00,9/1/2014 0:00,7/1/2015 0:00,network engineer,RAE BARELI,m,8/9/1992 0:00,83,cbse,2010,83,cbse,17935,2,B.Tech/B.E.,computer science & engineering,69.11,17935,0,Uttar Pradesh,2015,605,545,620,0.486747008438193,495,-1,376,-1,-1,-1,-1,0.8463,0.8784,1.2396,-0.995,0.2889 +train,1203568,300000.00,9/1/2014 0:00,4/1/2015 0:00,system engineer,Chennai,f,4/20/1993 0:00,96.8,cbse,2010,92.3,cbse,7701,2,B.Tech/B.E.,electronics & telecommunications,81,7701,0,Orissa,2014,630,570,605,0.943272157866555,425,452,-1,-1,-1,-1,-1,0.1282,0.7119,0.4711,-0.995,1.0554 +train,1085556,145000.00,2/1/2014 0:00,1/1/2015 0:00,software developer,Bangalore,m,7/31/1991 0:00,85,cbse,2009,77.06,cbse,1859,2,B.Tech/B.E.,computer science & engineering,80.6,1859,0,Karnataka,2013,545,485,560,0.744758354008939,625,-1,438,-1,-1,-1,-1,1.2772,0.7119,-0.1437,0.3995,1.6302 +train,243274,490000.00,12/1/2011 0:00,present,senior systems engineer,Hyderabad,f,5/3/1989 0:00,87.2,cbse,2006,75,cbse,55,2,B.Tech/B.E.,computer engineering,71.4,55,0,Uttar Pradesh,2011,605,635,565,0.901489571371033,545,-1,-1,-1,-1,-1,-1,-2.5811,-0.2793,-1.3599,1.0024,0.6603 +train,1193177,200000.00,8/1/2013 0:00,4/1/2014 0:00,engineer,-1,f,4/18/1992 0:00,82,cbse,2009,64,cbse,168,2,B.Tech/B.E.,computer science & engineering,72,168,0,Haryana,2013,580,505,440,0.144789889482462,385,-1,284,-1,-1,-1,-1,-1.7389,1.2114,-0.9122,2.0475,0.2889 +train,1007899,400000.00,2/1/2013 0:00,present,senior software engineer,Kolkata,m,11/4/1989 0:00,71.37,state board,2007,60.8,state board,16230,2,M.Tech./M.E.,other,85,16230,1,West Bengal,2013,605,605,570,-1,505,-1,530,-1,-1,-1,-1,0.2718,-0.6201,-0.2974,-0.2344,-0.4776 +train,536085,360000.00,7/1/2012 0:00,present,senior sales executive,-1,f,1/16/1991 0:00,88.8,cbse,2008,76.8,cbse,11,1,B.Tech/B.E.,electronics and communication engineering,75,11,1,Delhi,2012,615,670,765,0.910770164246022,-1,433,-1,-1,-1,-1,-1,-0.5719,0.8128,-0.9245,0.0623,0.0679 +train,1095963,300000.00,8/1/2014 0:00,present,design engineer,ranchi,m,10/29/1992 0:00,82.87,state board,2010,60.42,state board,6884,2,B.Tech/B.E.,civil engineering,67.77,6884,0,West Bengal,2014,420,400,545,0.255778193719394,-1,-1,-1,-1,-1,-1,292,-0.4463,-1.1196,-0.9122,1.1601,-2.2021 +train,63284,530000.00,3/1/2011 0:00,present,systems engineer,Kolkata,m,6/3/1987 0:00,78,state board,2004,62,state board,15575,2,MCA,computer application,85,15575,0,Orissa,2010,365,555,615,0.930370607202691,565,-1,-1,-1,-1,-1,-1,0.8192,-1.2153,1.5428,1.5899,0.6603 +train,982516,90000.00,10/1/2014 0:00,3/1/2015 0:00,software developer,-1,m,12/17/1991 0:00,71.6,cbse,2008,72.8,cbse,387,2,B.Tech/B.E.,computer engineering,65.1,387,0,Uttar Pradesh,2014,510,410,250,0.622642915849938,395,-1,407,-1,-1,-1,-1,1.2772,1.3779,1.0859,0.3995,0.0973 +train,618243,320000.00,6/1/2013 0:00,present,project engineer,jAipur,m,9/14/1991 0:00,87.4,cbse,2009,85.6,cbse,12906,2,B.Tech/B.E.,civil engineering,80.3,12906,0,Madhya Pradesh,2013,605,605,745,0.679644640924472,-1,-1,-1,-1,-1,-1,388,0.5591,-0.6201,0.01,-1.1218,-2.5853 +train,514622,490000.00,1/1/2013 0:00,7/1/2015 0:00,java software engineer,Noida,m,9/13/1990 0:00,72,0,2007,72,0,6271,2,B.Tech/B.E.,information technology,70.5,6271,0,Uttarakhand,2012,440,570,530,0.819416529835888,505,-1,-1,-1,-1,-1,-1,0.0464,0.6178,-0.3803,-1.1128,0.1864 +train,640037,200000.00,8/1/2013 0:00,5/1/2015 0:00,test engineer,Bangalore,f,6/22/1991 0:00,89.44,state board,2009,75.33,state board,4569,2,B.Tech/B.E.,computer science & engineering,68.69,4569,0,Karnataka,2013,500,425,385,0.704090412131314,465,-1,-1,-1,-1,-1,-1,0.8463,0.0459,1.7007,-0.4879,0.0973 +train,337533,450000.00,3/1/2013 0:00,present,software quality assurance tester,Chennai,m,9/18/1990 0:00,90.3,matriculation board,2008,96.25,state board - tamilnadu,3076,2,B.Tech/B.E.,electronics and communication engineering,88.88,3076,0,Tamil Nadu,2012,505,575,585,0.124502074009537,585,233,-1,-1,-1,-1,-1,0.6646,0.8518,-0.2714,-1.23027,0.3444 +train,938536,225000.00,9/1/2014 0:00,2/1/2015 0:00,java software engineer,Chennai,m,3/29/1993 0:00,77,state board,2010,91,state board,8116,2,B.Tech/B.E.,electronics and communication engineering,74,8116,1,Tamil Nadu,2014,415,365,370,0.783303536670298,285,388,284,-1,-1,-1,-1,0.7027,-0.1206,0.6248,-0.6147,0.0973 +train,781902,130000.00,8/1/2014 0:00,4/1/2015 0:00,mechanical engineer,Bhubaneshwar,m,4/3/1991 0:00,71.76,state board,2008,61.5,state board,11013,2,B.Tech/B.E.,automobile/automotive engineering,70.09,11013,0,Orissa,2013,430,365,355,0.414337426422751,-1,-1,-1,366,-1,-1,-1,-0.3027,0.8784,0.6248,1.1601,1.0554 +train,1036025,315000.00,6/1/2014 0:00,present,automation engineer,Banglore,f,1/17/1992 0:00,62.6,state board,2009,74.6,state board,11265,2,B.Tech/B.E.,computer science & engineering,68.88,11265,0,Madhya Pradesh,2013,370,460,310,0.622642915849938,-1,-1,407,-1,-1,-1,-1,0.5591,-0.2871,0.3174,0.3995,-0.6692 +train,599652,330000.00,1/1/2014 0:00,present,software engineer,Chennai,m,8/16/1992 0:00,71.2,cbse,2009,85.5,state board,830,2,B.Tech/B.E.,electronics and communication engineering,74,830,1,Tamil Nadu,2013,625,520,325,0.0587928000083534,335,200,-1,-1,-1,393,-1,-0.159,0.8784,0.3174,1.2869,0.8637 +train,105067,120000.00,12/1/2010 0:00,7/1/2011 0:00,software developer,-1,m,6/1/1987 0:00,77.2,cbse,2005,72.2,cbse,982,2,B.Tech/B.E.,electronics & telecommunications,63,982,1,Rajasthan,2010,445,235,555,0.694479327708463,455,366,-1,340,-1,-1,-1,-2.8903,-0.1232,0.3817,-0.8778,-0.6035 +train,1119976,180000.00,6/1/2013 0:00,6/1/2014 0:00,technical support engineer,New Delhi,m,3/10/1991 0:00,71,icse,2009,70,icse,184,2,B.Tech/B.E.,computer science & engineering,65,184,0,Uttar Pradesh,2013,490,510,390,0.0800552813405495,315,-1,253,-1,-1,-1,-1,0.7027,1.0449,0.3174,-1.3753,-0.6692 +train,663824,260000.00,10/1/2013 0:00,present,software engineer,Bangalore,m,9/10/1989 0:00,57.7,state board,2008,54.8,state board,4450,2,B.Tech/B.E.,computer engineering,73.4,4450,0,Uttar Pradesh,2013,395,410,325,0.488347976782714,405,-1,-1,-1,-1,-1,-1,-2.0262,-2.4516,0.01,0.0192,-0.8608 +train,722915,400000.00,11/1/2013 0:00,present,software engineer,-1,m,12/2/1991 0:00,89.23,state board,2009,88,state board,6189,2,B.Tech/B.E.,electronics & telecommunications,75.2,6189,1,Maharashtra,2013,685,620,750,0.910770164246022,-1,433,-1,-1,-1,-1,-1,-0.8772,-1.2861,0.7785,-0.3612,-0.8608 +train,1233727,300000.00,6/1/2015 0:00,present,programmer analyst,Gurgaon,m,6/30/1994 0:00,81,cbse,2011,80.2,cbse,272,2,B.Tech/B.E.,computer science & engineering,77.04,272,0,Punjab,2015,370,590,605,0.991230625262871,555,-1,592,-1,-1,-1,-1,-1.308,0.2124,1.3933,2.9349,0.4805 +train,982135,600000.00,1/1/2014 0:00,present,software engineer,Bangalore,m,1/31/1992 0:00,80.4,jharkhand acedemic council,2009,70.2,jharkhand acedemic council,1424,2,B.Tech/B.E.,computer science & engineering,78,1424,0,West Bengal,2014,465,455,680,0.953899775079926,575,-1,530,-1,-1,-1,-1,-0.3027,0.0459,0.3174,-1.1218,-0.0943 +train,1110880,105000.00,8/1/2014 0:00,present,software developer,BANGLORE,m,3/15/1991 0:00,75,state board,2009,81.1,state board,12160,2,B.Tech/B.E.,information technology,78.16,12160,0,Andhra Pradesh,2013,315,340,235,0.356536487724475,295,-1,346,-1,-1,-1,-1,-1.1644,-1.2861,-0.6048,0.0192,-1.244 +train,553371,335000.00,12/1/2013 0:00,present,software engineer,Navi Mumbai,f,9/30/1990 0:00,72,cbse,2009,73,cbse,13210,2,B.Tech/B.E.,computer engineering,71,13210,0,Uttar Pradesh,2013,485,465,400,0.765673581234011,485,-1,-1,-1,-1,-1,-1,-0.7335,-0.2871,-0.1437,1.9207,-0.6692 +train,690186,270000.00,6/1/2014 0:00,present,software test engineer,Chennai,m,12/29/1991 0:00,80.5,state board,2009,93.9,state board,439,2,B.Tech/B.E.,electronics and communication engineering,74.7,439,1,Tamil Nadu,2013,510,425,605,0.538386892985096,355,333,-1,-1,-1,-1,-1,-1.5953,-1.2861,-0.1437,0.653,-1.4356 +train,995141,180000.00,5/1/2014 0:00,present,data analyst,Hyderabad,m,8/14/1991 0:00,83.33,state board,2009,92.2,state board,9152,2,B.Tech/B.E.,electronics and communication engineering,72.85,9152,1,Telangana,2013,580,565,510,0.112139438207403,435,228,-1,-1,-1,-1,-1,1.4208,1.2114,0.9322,-2.2627,1.247 +train,654308,300000.00,11/1/2013 0:00,present,business analyst,Hyderabad,f,7/28/1991 0:00,76,state board,2009,88,state board,9812,2,B.Tech/B.E.,computer science & engineering,67,9812,1,Telangana,2013,520,620,665,0.864685413370085,525,-1,-1,-1,-1,-1,-1,-0.159,0.3789,0.4711,-0.6147,0.0973 +train,267683,360000.00,8/1/2011 0:00,4/1/2015 0:00,db2 dba,Bangalore,m,2/20/1989 0:00,65,bseb,2005,66,cbse,462,2,B.Tech/B.E.,information technology,60.23,462,1,Karnataka,2011,505,435,445,0.525922584252055,415,-1,-1,-1,-1,-1,-1,-0.880999999999999,-0.1232,1.8331,1.0024,0.3444 +train,604821,280000.00,5/1/2013 0:00,5/1/2014 0:00,test technician,-1,f,11/14/1991 0:00,81.2,cbse,2008,72.6,cbse,272,2,B.Tech/B.E.,electronics and communication engineering,82.35,272,0,Punjab,2013,510,545,735,0.229481754911755,415,266,-1,-1,-1,-1,-1,0.8463,-0.1206,0.1637,-0.4879,0.0973 +train,1062520,325000.00,10/1/2014 0:00,present,assistant store manager,Chennai,m,8/28/1993 0:00,93.4,state board,2010,95.9,state board,3505,2,B.Tech/B.E.,electronics and communication engineering,76.4,3505,0,Andhra Pradesh,2014,650,650,620,0.999829171678571,655,612,-1,-1,-1,-1,-1,0.1282,0.3789,-1.527,-0.8682,-0.6692 +train,844474,195000.00,10/1/2013 0:00,5/1/2015 0:00,software developer,Patiala,m,8/13/1992 0:00,69,cbse,2009,69,cbse,168,2,B.Tech/B.E.,computer science & engineering,66,168,0,Haryana,2013,325,305,430,0.864685413370085,525,-1,-1,-1,-1,-1,-1,0.4155,0.2124,0.4711,-0.7415,0.6721 +train,262863,240000.00,7/1/2014 0:00,present,lecturer,Gorakhpur,m,11/19/1990 0:00,56,0,2007,75,0,14519,2,M.Tech./M.E.,computer engineering,70.65,14519,0,Uttar Pradesh,2014,435,305,345,0.276047228046856,345,-1,-1,-1,-1,-1,-1,-0.880999999999999,1.5928,0.0914,0.8848,0.9763 +train,1089287,300000.00,8/1/2014 0:00,present,manufacturing engineer,Noida,m,4/4/1992 0:00,78,cbse,2010,68.5,cbse,14004,2,B.Tech/B.E.,electronics and communication engineering,69,14004,0,Himachal Pradesh,2014,630,505,595,0.649389714846691,305,356,-1,-1,-1,-1,-1,-0.8772,-1.1196,0.01,-1.5021,-2.7769 +train,1269538,190000.00,9/1/2014 0:00,5/1/2015 0:00,java software engineer,Kolkata,m,11/22/1990 0:00,79.06,state board,2008,76,state board,16201,2,B.Tech/B.E.,computer science & engineering,70.14,16201,0,Maharashtra,2012,630,570,535,-1,-1,-1,-1,-1,-1,-1,-1,-0.3027,0.2124,-0.6048,0.1459,-0.4776 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0:00,83.25,wbbse,2008,79.8,wbchse,253,2,B.Tech/B.E.,electrical engineering,71.31,253,1,West Bengal,2012,315,625,605,0.960603251997053,-1,466,-1,-1,-1,-1,-1,-1.1128,-1.0593,-0.344,-0.17277,-2.1833 +train,272323,390000.00,8/1/2012 0:00,present,software engineer,Noida,f,8/24/1989 0:00,81.2,cbse,2007,82.8,cbse,11537,2,B.Tech/B.E.,computer engineering,73,11537,0,Uttar Pradesh,2011,525,625,585,0.635978756456794,445,-1,-1,-1,-1,-1,-1,0.51,1.1248,0.5269,-0.7603,0.6603 +train,332563,180000.00,5/1/2014 0:00,4/1/2015 0:00,customer service representative,New Delhi,m,11/10/1991 0:00,72,cbse,2009,62,cbse,7600,2,B.Tech/B.E.,computer engineering,69,7600,0,Uttar Pradesh,2013,345,385,495,0.143256541032196,295,-1,-1,-1,-1,-1,-1,0.51,0.3448,0.8171,1.58992999999999,0.1864 +train,677954,200000.00,2/1/2014 0:00,present,quality assurance,-1,f,6/7/1992 0:00,69,state board,2008,69.12,state board,1401,1,B.Tech/B.E.,instrumentation and control 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