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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.
Covid Data Cleaning on S.S.M.S(SQL Server Management Studio) Ver:-19.2 | Pizza Sales Data Cleaning in S.S.M.S(SQL Server Management Studio) Ver:-20.0 | Bank Loan Data Analysis & Cleaning .
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.
Advanced SQL for Data Analytics. A collection of problem-solving solutions covering complex Joins, Window Functions, CTEs, and Query Optimization. Includes real-world interview questions, schema design, and dataset analysis for MySQL and PostgreSQL
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.