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This project analyzes historical transaction data from Walmart stores using advanced SQL queries to uncover insights related to sales performance, customer behavior, and operational efficiency. By leveraging SQL techniques, the project covers various aspects such as branch performance, product profitability, customer segmentation, and sales trends.
This repository, NorthWind Customer Churn Analysis, leverages the NorthWind database and MySQL to analyze customer churn patterns. It identifies trends, predicts at-risk customers, and provides actionable insights to improve customer retention.
This project demonstrates end-to-end data analysis of an online bookstore using SQL. It covers data modeling, importing CSV files into PostgreSQL, and writing queries for business intelligence insights. The project showcases skills in SQL querying, joins, aggregation, window functions, and real-world data problem-solving.