I will turn a small, clearly scoped CSV cleanup task into a repeatable Python workflow.
Fixed scope: up to 10 UTF-8 CSV files and 100,000 rows in total, using one agreed table schema and currency. We will agree the column mapping, duplicate rules and validation rules before the order starts.
Delivery includes: a Python script, cleaned CSV output, a separate file retaining duplicate and invalid rows for review, source file and line references, a summary, an offline HTML report, and a short run guide. The workflow preserves leading-zero IDs and uses decimal arithmetic for amounts.
Price: USD 120 equivalent. Delivery: 3 days after the scope, input sample and escrow funding are confirmed. One revision within the agreed rules is included. Please send a small redacted or synthetic sample before ordering so we can confirm fit.
I use AI-assisted development and reproducible tests. The portfolio demo uses synthetic data; it is not a past client project. USDC on Base is preferred, subject to the payment options agreed through LaborX.
This package covers CSV processing. XLSX, fuzzy matching, dashboards and additional integrations require a separate scope.
Reproducible synthetic sample and tests: https://github.com/WeiliangHuang-UM-connect/codex-pro-100-dollar-experiment/tree/main/examples/csv-orders
