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KrishnaJ4F/README.md

Hi, I'm Krishna Kumar 👋

🎯 Aspiring Data Analyst & Data Science Enthusiast 📍 Tamil Nadu, India 📫 Connect with me: LinkedIn

About me

I'm a passionate data analyst who loves turning raw data into actionable business insights. I work with Python, SQL, and Machine Learning to solve real-world problems — from predicting house prices to detecting smartphone addiction patterns in students.

Currently building my portfolio and open to Data Analyst / Junior Data Scientist roles.

Python SQL Power BI Pandas Scikit-learn Streamlit

🛠️ Skills & Tools

Category Tools
Languages Python, SQL
Data Analysis Pandas, NumPy, Excel
Visualisation Matplotlib, Seaborn, Plotly, Power BI
Machine Learning Scikit-learn, Linear/Logistic Regression, Random Forest, Clustering
Deployment Streamlit
Database MySQL
Others Jupyter Notebook, Google Colab, Git

🚀 Featured Projects

🏠 Housing Price Prediction — Streamlit App

Predicts house prices based on area using Linear Regression. Deployed as an interactive web app. Python Streamlit Scikit-learn Linear Regression

📊 Retail Store Sales EDA

Analyzed retail sales data to uncover spending patterns, top products, and purchase modes. Python Pandas Matplotlib Seaborn

📱 Smartphone Addiction Detection

ML model to predict addiction levels in students using behavioral and academic factors. Python Scikit-learn Multi-model Comparison Classification

💰 Salary Survey Analysis

SQL-based analysis of salary trends across roles, experience levels, and industries. SQL MySQL Excel

💻 Laptop Price Segmentation

Market intelligence system using clustering + Random Forest to segment laptop pricing on Flipkart. Python Clustering Random Forest Scikit-learn

📈 GitHub Stats

Krishna's GitHub stats

⭐ Feel free to explore my repositories and reach out — I'm always open to feedback and collaboration!

Popular repositories Loading

  1. retail-sales-performance-analysis retail-sales-performance-analysis Public

    The project is to analyze retail sales data to identify key spending patterns, top-selling products and purchase modes. By cleaning, transforming, and visualizing the dataset, the project aims to g…

    Jupyter Notebook

  2. housing-price-prediction-streamlit-app housing-price-prediction-streamlit-app Public

    A simple Streamlit web app that predicts house prices based on area using Linear Regression. Includes model training, evaluation, and interactive prediction interface.

    Python

  3. boosting-and-bagging-comparision boosting-and-bagging-comparision Public

    Jupyter Notebook

  4. salary-survey-sql-analysis salary-survey-sql-analysis Public

  5. chatgpt-assisted-data-analysis-superstore chatgpt-assisted-data-analysis-superstore Public

    Business-driven exploratory data analysis on Superstore sales data using Python and AI-assisted analytics.

    Jupyter Notebook

  6. superstore-sales-data-analytics-dashboard superstore-sales-data-analytics-dashboard Public

    End-to-end sales data analysis and interactive Excel dashboard project using Superstore dataset. Includes data cleaning, KPI calculations, pivot analysis, what-if analysis, and business insights.