This project analyzes an E-Commerce dataset to understand customer behavior, sales
performance, product profitability, and the impact of marketing activities. The data was provided
as multiple CSV files and processed using Python for ETL and data cleaning and SQL for
analysis and insights. The final output is designed to support dashboards and business decision
making.