I will clean standardize and prepare your messy dataset for analysis or ml
About this Gig
Hey, I'm Daniel. Raw data is never clean spreadsheets arrive with exact and near-duplicate rows, inconsistent spacing, and mixed-case values that break analysis and ML pipelines.
I fix that properly:
- Remove exact and near-duplicate rows (whitespace-insensitive "John Doe" and " John Doe " count as the same row)
- Trim whitespace across every text column
- Normalize casing on identifier columns (email, username, city, status, category, etc.)
- Tell me which specific columns matter most and I'll target those first
Every job comes with a report showing what changed rows removed, which columns were normalized, and a count of empty cells found. I flag missing values, I don't invent them.
Formats: CSV or Excel in. Output comes back as CSV.
Premium tier gets a manual spot-check of the output before delivery, plus priority handling on your largest files.
FAQ
What formats do you accept?
What formats do you accept? → CSV and Excel (.xlsx/.xls) for now — other formats on request, but not guaranteed same-day.
Can you target specific columns?
Yes — tell me which columns matter most (e.g. email, status) and I'll normalize those first.
Can you automate this for weekly data dumps?
Not automated today — I don't hand off a standalone script. Message me for recurring cleanups and I'll quote a custom setup.
Is my data kept private after delivery?
Yes — I don't reuse, share, or reference your data outside your order. There's no automated deletion system yet, so if you want written confirmation once a file is removed, just ask.
What if my data is really messy or inconsistent?
If it's messy but readable, that's normal — I clean it and flag anything I can't safely fix. If the file itself is corrupted or unreadable, I'll tell you before starting rather than force a bad result.

