Zomato Sales Data Analysis — SQL

Overview

SQL-based analysis of 5,000+ food delivery orders to identify top restaurants, high-value customers, and revenue trends.

Problem Statement

Food delivery platforms need data-driven insights on customer ordering behavior, restaurant performance, and revenue distribution.

Tools Used

• MySQL (CTEs, Window Functions, Joins, Aggregations, Subqueries)
• Query optimization for faster data retrieval

Key Findings

• Identified top-performing restaurants by revenue and order count
• Ranked high-value customers using window functions
• Analyzed ordering behavior and revenue trends across cities

Key SQL Concepts Used

• Common Table Expressions (CTEs)
• RANK(), DENSE_RANK(), ROW_NUMBER()
• GROUP BY with HAVING
• Multi-table JOINs
• Correlated subqueries