Python data cleanup — original synthetic demonstration
Stephen Tumblin
Original demonstration — not paid client work.
I created this AI-assisted, tested Python sample and its service page to show a conservative approach to data cleanup. Six synthetic records include an exact duplicate, conflicting values under one ID, a missing ID, and a legitimate zero.
The sample returns two accepted records and retains four rows in a review list with reasons. It trims surrounding whitespace, preserves zero values, and sends conflicting IDs for review instead of guessing a winner. The original rows stay traceable.
Deliverables: a standard-library Python script, reproducible JSON output, and a web page explaining the rules. The page includes downloads so the behavior can be inspected. A real engagement starts with agreed input fields, duplicate rules, and acceptance checks. No client results, production integration, or revenue outcomes are claimed.
Live original sample: https://builtbycircuit-data-cleanup.ygytstbby9.chatgpt.site/
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Posted Oct 7, 2026
Six synthetic rows: two accepted and four retained for review. Tested duplicate handling preserves conflicts and zero values. Original demo, not client work.
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