E-Commerce Customer Behavior Analysis & Revenue Optimization

A comprehensive data analysis project focused on understanding customer purchasing behavior in an e-commerce platform.

The project involved data cleaning, preprocessing, and analysis using SQL and Python (Pandas). Key metrics such as Customer Lifetime Value (CLV), Conversion Rate, Average Order Value (AOV), Retention Rate, and Sales by Channel were calculated and visualized using Matplotlib.

The analysis provided actionable insights to improve marketing strategies, enhance customer retention, and optimize revenue generation.