This project analyzes customer shopping behavior using SQL, Python, and Power BI to uncover purchasing patterns, customer segments, and revenue insights. The goal is to understand customer preferences and support data-driven business decisions for improving marketing and sales strategies. Tools & Technologies: SQL (MySQL) Python Pandas NumPy Matplotlib Seaborn Power BI Jupyter Notebook Project Objectives: -Analyze customer purchasing patterns -Identify high-revenue product categories -Understand customer demographics and spending behavior -Evaluate the impact of discounts and subscriptions on purchases -Segment customers based on purchase history -Build an interactive dashboard for business insights