Brazilian E-Commerce Dive Deep using SQL

This project focuses on performing in-depth data analysis on the Olist Brazilian E-Commerce dataset to extract meaningful business insights.

Using SQL, a complete relational database was built to store, organize, and query millions of records about orders, customers, sellers, payments, reviews, and logistics.

The objective was to understand customer behavior, seller performance, and delivery efficiency through structured analytical queries and views.