Spreadsheet Cleanup & Data Organization

This sample shows how messy spreadsheet data can be cleaned, organized, and made easier to use. The work includes standardizing columns, removing duplicate entries, correcting inconsistent formatting, and improving the layout so the information is easier to read, sort, filter, and review.

Tools used: Microsoft Excel, Google Sheets, data entry, data cleaning, and spreadsheet organization.

Sample project (fictional data): Inventory CSV reorder list. I used an existing local Python utility to read stock counts and flag items below a chosen threshold. The three-row sample produces two flagged items: brake pads and a chain. The package includes the script, example input/output, instructions and a ZIP. A customer version would start with their export and confirmed stock rules. This is a small file-automation demo, not a live inventory integration or paid client result.