Sales performance and growth analysis for a retail chain across 5 stores using PostgreSQL revenue trends, margin by category, customer LTV, and store classification.

This is a SQL Data Analysis project based on a Food Delivery Case Study. It covers real-world analytical problem statements such as customer acquisition analysis, customer retention, top restaurant identification, and personalized marketing triggers.

Growth Data Analysis of an E-commerce Company

Designed a data-driven intervention framework for high-value customers by integrating growth deceleration detection, churn prediction, and targeted Revenue at Risk quantification.

Growth Revenue Model

Comprehensive analytics framework demonstrating PM skills in metrics definition, funnel analysis, cohort retention, and growth modeling. Includes North Star metric framework, SQL queries, and interactive dashboards.