A data analysis project using SQL to explore and analyze pizza sales data, including insights on sales trends, customer preferences, and branch performance.

This project analyzes retail footwear sales data from 2017 to 2024 to identify trends, optimize inventory, refine pricing strategies, and improve operational efficiency. By applying data cleaning, exploratory analysis, and forecasting, it provides actionable recommendations for seasonal demand planning, profitability, and product performance.