The Customer Behavior Dashboard is an interactive Power BI dashboard designed to analyze customer purchasing patterns and business performance. The data was cleaned and transformed using Python (Pandas and NumPy), stored and queried using PostgreSQL and SQL, and visualized in Power BI. The dashboard shows key metrics such as Total Customers (5,050), Total Spend ($730,366), Average Spend ($144.63), Average Review (3.67), and Unique Items (30). It provides insights into customer payment preferences, gender distribution, category-wise sales, and seasonal purchasing trends. The analysis reveals that Clothing generates the highest revenue, male customers represent the largest customer segment, and Spring and Winter experience the highest purchase activity. Interactive filters for location and season allow users to explore customer behavior dynamically and support data-driven business decisions.