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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.
An in-depth SQL-based analysis of the MAVENMOVIES database to derive insights for business growth. This project focuses on customer behavior, rental trends, inventory optimization, and revenue enhancement. The analysis aims to support data-driven decision-making for marketing, pricing, and operational efficiency."