A complete end-to-end MySQL project analyzing grocery store operations through database design, complex SQL queries, and business insights. Includes ERD modeling, customer & sales analysis, supplier performance evaluation, and data-driven recommendations for improving retail decision-making.

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SQL project analyzing online retail sales data. Covering database creation, data seeding, EER diagram and detailed analysis with MySQL.

This SQL project analyzes a retail sales dataset by performing data cleaning, exploration, and business problem-solving. Queries include sales trends, top customers, category insights, monthly performance, and shift-wise order analysis. Built in MySQL for data-driven decision-making.

A MySQL-based retail sales analysis project to explore sales data, customer behavior, and business insights.

A MySQL-powered retail sales analysis project that transforms raw CSV data into structured tables and generates actionable business insights on revenue, product performance, customer behavior, and sales trends.

This project involves analyzing retail sales data using MySQL. The purpose is to extract insights and perform various data analysis tasks using SQL queries.

Retail Sales Analysis Project – End-to-end data analysis case study using Python, MySQL, and Excel. Cleaned and processed retail datasets with pandas, designed relational databases and SQL queries for business insights, and visualized sales trends (monthly revenue, top products, top customers) using Matplotlib/Seaborn

End-to-End Data Analytics project extracting raw retail data via Python, loading it into MySQL for complex SQL analysis, and visualizing actionable business insights (Sales Trends, Profit Margins) using Matplotlib & Seaborn.

A comprehensive SQL project analyzing e-commerce and retail operations using MySQL. This repository contains 9 advanced SQL queries solving real-world business problems across sales performance, profitability analysis, logistics optimization, and customer segmentation.

This project performs an end-to-end analysis of the India Retail Dataset using Big Data tools — MySQL, Sqoop, and Hive — within the Cloudera Hadoop environment. The main goal is to understand sales trends, top-performing products, and profit distribution using large-scale data processing and visualization in Hue.

MySql_Retail_Sales_Analysis_Project

Designed to demonstrate MySQL skills and techniques typically used by data analysts.

MYSQL

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This project explores and analyzes retail sales and inventory data using MySQL. The goal is to extract valuable insights into product performance, regional revenue, monthly sales trends, and return rates. The analysis simulates how a business analyst or data analyst would interact with company data to inform strategic decisions.

This project is designed to demonstrate SQL skills and techniques typically used by data analysts to explore, clean, and analyze retail sales data.

This project showcases the practical application of SQL skills in exploring, cleaning, and analyzing retail sales data to generate meaningful business insights. The project involved setting up a retail sales database, performing data cleaning to handle missing or null values, and conducting exploratory data analysis (EDA) to understand the dataset.

Retail_Sales_Analysis_MySQL_Project1

Retail Sales Analysis SQL Project using MySQL

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An sql project of retail sales analysis by using mysql

MySQL data analysis project using pizza retail sales data set.

Retail sales data analysis project using MySQL, Pandas & Matplotlib for visualization.

Retail sales analysis project using MySQL to analyze sales, customers, products, and business insights.

SQL project to analyze retail sales data using MySQL and cohort analysis

In this project..I did Retail_sales_analysis using MYSQL based on business requirements.