Inventory Data Cleaning and Analysis

This project focuses on cleaning and analyzing messy inventory data using Python and SQL-like queries. It tackles real-world data issues like inconsistent product names, duplicate SKUs, and price mismatches across multiple warehouse hubs. Built in Google Colab, the notebook standardizes the dataset, visualizes stock distribution, highlights top and bottom performing hubs, and exports clean data ready for business use.

Please visit my GitHub repository to get more details on this project. (Link)