Hi π, I'm Mrityunjay Pathak
I am a dedicated Data Scientist with a knack for uncovering patterns and trends that drive smarter decisions.
π― Tools and Technologies
β’ Programming : I'm skilled in using Python, a powerful language for data science and data analysis.
β’ Libraries : I'm familiar with essential libraries like NumPy (for numerical operations), Pandas (for data manipulation), and Matplotlib/Seaborn (for visualizing data).
β’ Machine Learning : I'm familiar in various machine learning techniques like Regression (predicting values), Classification (sorting data into categories), Clustering (grouping similar data), Dimensionality Reduction (simplifying complex data), and Model Selection (choosing the right predictive model).
β’ Database : I can work with MySQL, a popular database system to handle and retrieve data effectively.
β’ BI Tool : I'm proficient in using Microsoft Power BI, a tool that helps in turning data into actionable insights through interactive visualizations.
β’ Version Control : I'm familiar with Git, which helps in keeping track of changes in code and collaborating effectively with a team.
β’ Web Application : I have experience working with Streamlit, an open-source Python library that makes it easy to create custom web apps for machine learning and data science.
β’ Web Development : I also have some knowledge in web development, specifically HTML and CSS.
π« Connect with Me
KaggleΒ Β | Β Β LinkedInΒ Β | Β Β GitHubΒ Β | Β Β HackerRankΒ Β | Β Β Portfolio
ποΈ Machine Learning
Dataset : Car Price Dataset β Web App : Car Price Prediction App
To develop a Machine Learning Model that can accurately predict the prices of used cars based on various features and attributes.
Dataset : Spaceship Titanic Dataset β Web App : Spaceship Titanic App
To predict whether a passenger was transported to an alternate dimension during the Spaceship collision with the spacetime anomaly.
π Exploratory Data Analysis
Dataset : Super Market Sales Dataset β Web App : Super Market Sales App
To analyze sales data and gain insights into customer purchasing behavior, product performance and overall trends of the supermarket business.
π Microsoft Power BI
Dataset : Retail Store Sales Dataset
To design a Retail Store Sales Dashboard that provides a clear and concise overview of the Store's Sales performance enabling the owner to gain actionable insights.
Dataset : Finance Report Dataset
To create a visually appealing dashboard that provides an overview of the company's financial metrics enabling stakeholders to make informed business decisions.
Dataset : Covid Pandemic Dataset
To create a comprehensive and interactive COVID-19 Dashboard that provides meaningful insights and analysis of the pandemic's impact.
Dataset : India Population Dataset
To provide insights and visualizations that help stakeholders understand the population dynamics, trends and patterns across various demographic factors.
π Data Science
π Machine Learning
π Feature Engineering
π Structured Query Language
π Machine Learning Mathematics
Click Here
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Linear Algebra
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Geometry
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Statistics
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Probability
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Calculus
For more Details β Go to Machine Learning Mathematics Repository
5 β Python HackerRank | 5 β SQL HackerRank | Kaggle Master |
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Thanks π for Visiting!