CSV Audit Prototype — Self-directed Project

CSV Audit Prototype — Self-directed Pacheco Labs project

An offline Python standard-library workflow for up to three CSV files and 10,000 total rows. It preserves source records, normalizes whitespace, flags exact case-insensitive duplicate candidates and missing fields, and produces exception reports with source-row references, source hashes and reconciled counts.

This is an AI-assisted, self-directed prototype, not a paid client case study or customer-validated deployment. No date or amount conversion, fuzzy matching, automatic deletion, financial correctness verification or integrations are included.

A paid pilot starts with a redacted sample, target schema and agreed acceptance checks.