Coffee Sales Analysis Dashboard

Analyzed 3,636 coffee shop sales transactions to uncover revenue trends, peak sales hours, and best-selling products. Built with Python (Pandas, Matplotlib/Seaborn) to clean raw transaction data, calculate KPIs, and generate visual reports covering daily/monthly revenue trends, product performance, and customer purchase patterns. Delivered as a clean, presentation-ready set of charts with actionable insights for inventory and staffing decisions.