Music Sales Analysis: Explored music sales data using MySQL and advanced SQL techniques. Derived insights on employee hierarchy, invoices, customer behavior, genres, and country-wise spending. Leveraged JOIN, WHERE, ROW_NUMBER(), and more. Valuable findings on senior employees, best customers, popular genres, and top track bands.

A relational database project designed for managing restaurant operations using SQL. Includes tables for customers, orders, menu items, employees, and billing. Features optimized queries for order tracking, revenue analysis, and efficient data management using MySQL

Customer–Agent–Order Data Analysis Project using MySQL Workbench. Designed a relational database and performed SQL analysis to evaluate customer behavior, agent performance, order trends, and financial risk. The project focused on writing optimized SQL queries using joins, subqueries, views, and aggregations to generate meaningful business insights