This project focuses on analyzing customer shopping behavior and purchasing trends. Data was extracted directly from an SQL database, then cleaned, processed, and analyzed using Python (pandas, matplotlib, seaborn). Key insights about demographics, purchase frequency, and product categories were uncovered. Finally, an interactive Power BI dashboard was developed to visualize trends, track customer segments, and support data-driven decision making.