This analysis explores customer churn patterns using a telecom dataset, focusing on subscription type, contract length, and demographic characteristics. Through visualizations and descriptive statistics, the report highlights key factors influencing churn behavior.

This project involves scraping the Paris 2024 Summer Olympics medal table from Wikipedia using R. The data is cleaned, transformed, and analyzed to explore medal distributions across countries. Visualizations and interactive tables are used to present insights in a clear and engaging way.

Prepare, Evaluate and Analyzing Stock Market Data and to recommend an optimal portfolio consisting of two stocks