This repository analyzes Black Friday sales data to uncover customer behavior patterns and purchasing trends. Using EDA and predictive modeling (Linear and Random Forest Regression), the project provides actionable insights to help businesses optimize sales strategies for future events.

Financial analysis and Black Friday A/B test for a simulated e-commerce supplement store. Python-generated data was used to gain insights into how hero image variants impact user engagement (clicks, conversions, etc.). The analysis is visualized and reported in Power BI.