I will create efficient script for CSV and excel

I build data-cleaning scripts and tools for messy CSV and Excel files the kind of one-off pandas script most people write, except mine actually tells you what changed and why, instead of just silently "fixing" your data.

Why this matters: most quick cleaning scripts just overwrite your data with no record of what was changed, why a row was removed, or how a duplicate was matched making the result hard to trust or check.

What you get:

• Normalization for text, casing, whitespace, dates, emails, and phone numbers
• Exact duplicate detection, with fuzzy matching available on Premium for near-duplicate records (typos, formatting differences)
• A structured report (JSON, or HTML on Standard/Premium) showing exactly which cells changed, which rows were flagged, and why not just a cleaned file with no explanation
• On Standard/Premium: a reusable CLI tool instead of a throwaway script, plus validation rules (required fields, value ranges, allowed values, valid emails/dates) that report problems instead of silently guessing a fix
• Full source code you can run it again on future data yourself

Who this is for: anyone with a messy customer list, product catalog, or export file who needs it cleaned rel