Sales & Customer Data Analysis using Python, SQL, and Data Visualization

In this project, I performed a complete data analysis on a real-world sales dataset to extract valuable business insights.

I started by cleaning and preprocessing the data using Python (Pandas), then stored it in a MySQL database. After that, I used SQL to analyze the data and extract key metrics.

The analysis included:

Calculating total revenue

Identifying top-performing product categories

Analyzing monthly sales trends

Determining top states by revenue

I also created clear and professional visualizations using Matplotlib to present insights in an easy-to-understand way.

This project demonstrates a full workflow: Data Cleaning → Database Integration → Data Analysis → Data Visualization