Hi 👋, I'm Mrityunjay Pathak
I am a Data Scientist with a knack for uncovering patterns and trends that drive smarter decisions.
🎯 Tools and Technologies
• Programming : I'm skilled in using Python, a powerful language for data science and data analysis.
• Libraries : I'm familiar with essential libraries like NumPy (for numerical operations), Pandas (for data manipulation), Matplotlib/Seaborn (for visualizing data) and Plotly(for interactive visualization).
• 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).
• Database : I can work with MySQL, a popular database system to handle and retrieve data effectively.
• Data Analysis : I can work with Excel for data analysis, creating pivot tables, performing calculations and visualizing data through charts and graphs.
• BI Tool : I'm familiar with Power BI for creating dynamic dashboards, generating reports and deriving actionable insights from business data.
• 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.
• Version Control : I'm familiar with Git, which helps in keeping track of changes in code and collaborating effectively with a team.
📫 Connect with Me
Data Science Intern @Unified Mentor
Duration : August 2024 - September 2024 | Type : Remote
Projects : Netflix Data Analysis | Supermarket Sales Analysis
🗃️ Machine Learning
Car Price Prediction
Dataset : Car Price Dataset → 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.
Spaceship Titanic Classification
Dataset : Spaceship Titanic Dataset → Web App : Spaceship Titanic App
To predict whether a passenger was transported to an alternate dimension during the spaceship collision with the spacetime anomaly.
🔍 Exploratory Data Analysis
Netflix Data Analysis
Dataset : Netflix TV Shows and Movies
To gain insights into the content available on Netflix and understand the patterns to uncover valuable insights into how the platform curates and evolves its offerings.
Supermarket Sales Analysis
Dataset : Supermarket Sales Dataset
To gain insights into Supermarket Sales Performance understanding the patterns and trends in customer behavior, product categories and regional sales.
📋 HackerRank Certificates
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