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Electric Vehicle sales forecasting and insights in India (2014–2030) using Python, Machine Learning, Tableau, and Power BI dashboard for impactful visualizations and data-driven decisions.

This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.

Formula 1 Race Analysis

End-to-end retail sales analysis using Python • Pandas data cleaning, exploratory analysis, and statistical insights • Course project for Introductory Data Analysis

Implemented a flight prediction system using two algorithms, Linear Regression and Decision Trees, to forecast flight prices accurately. The project involved preprocessing and analyzing flight data to extract relevant features such as departure time, destination, and airline. Utilized the Linear Regression algorithm

clustering of the shipping data of a supply chain based company

Predicting IPL Cricket Players' Auction Price and analysing if they are over / under priced.

This Project is about performing EDA on house prices dataset.

Portfolio of Deep Learning projects

A Python data analytics project analyzing an e-commerce sales dataset using Pandas and matplotlib to generate business insights and visualizations.

Formulate the business problem and think systematically to complete 1) EDA to test the price sensitivity hypothesis
2) Feature Engineering to make relevant features 3) Predictive Model to give findings and recommendations

The project provides a Regression on the Insurance Prediction Data which shows the features of individuals, tuned using Ridge & Lasso.

Data analysis notebooks . Loan prediction analysis and notebooks for all classification algorithms

Get to know what personality you fall into by answering the given questions.

A codebase for two data analysis projects, both developed using Python. The first project is a GUI application for managing student performance, using Tkinter and csv for input storage and analysis. The second project is a web scraping tool for analyzing movie data from IMDB, using bs4 and pandas for data processing and matplotlib for visualization

End-to-end e-commerce sales analytics project using Python, SQL & Power BI on 100K+ real Olist Brazil orders. Covers data cleaning, EDA, KPI analysis & interactive dashboard with business recommendations.

Tools for check poc vulnerabilities

Task 1 of the Prodigy infotech Data science internship

This notebook explores and analyzes the Heart Disease UCI dataset using Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, and scikit-learn. It includes data visualization, feature engineering, model building using Random Forest Classifier, and evaluation of the model's performance in predicting the presence or absence of heart disease.