Inventory Data Processor (Pandas Automation)

This repository contains a practical solution for inventory data management using Python. The project focuses on automating the ingestion of external files and transforming raw data into manageable structures.

🎯 Project Goal

The primary goal was to efficiently process CSV inventory files, extracting specific information (such as product names) to generate quick reports and facilitate technical and administrative decision-making.

💡 Key Skills Demonstrated

• Data Ingestion: Effective use of the Pandas library to load and read data structures from flat files.
• Data Transformation: Converting DataFrame objects into native Python structures like Lists for seamless process integration.
• Debugging & Problem Solving: Resolved syntax and definition errors (e.g., NameError) and managed file pathing.
• IT Automation: Creating repeatable workflows for automated inventory analysis.

📂 Files Info:

• catalog_manager.ipynb — The main Jupyter Notebook containing the data loading logic and processing.
• inventory.csv — The source database containing the product listings.