This project focuses on analyzing the Sakila movie rental database using advanced SQL queries
The goal was to extract meaningful business insights such as top-performing stores, most rented movie categories, active customers, and revenue trends
The analysis demonstrates strong skills in data manipulation, joins, subqueries, aggregation, and CTEs, providing a clear understanding of customer behavior and store performance
Tools Used: MySQL / SQL Server
Skills: Data Analysis, Query Optimization, CTEs, Aggregations, Joins, Business Reporting