I will clean and merge messy CSV files with python
About this Gig
I take your messy CSV files inconsistent column names, mixed date formats, duplicate rows, stray whitespace, missing values and turn them into one clean, standardized dataset. Multiple files? I'll merge them into one and flag anything that doesn't line up.
What I handle:
Standardize column headers, fix inconsistent date formats, remove duplicate rows, strip whitespace and formatting issues, merge multiple files into one clean dataset, and flag missing values instead of silently deleting them. Every job comes with a clear before/after report showing exactly what changed.
How it works:
-SSend me your file(s)
-I clean, standardize, and merge them
-You get back a clean CSV plus a short report of every change made
No black-box guessing if something's genuinely ambiguous in your data, I'll flag it instead of quietly making assumptions.
My Portfolio
FAQ
What file formats do you accept?
Currently CSV files. Excel (.xlsx) support is coming soon — message me if that's what you need.
Will you delete my data if something's missing?
No. Missing values are flagged in the report, never silently deleted. You stay in control of your data.
How many files can you merge at once?
Up to 6 files in the Premium package. If your files have different column structures, I'll flag the mismatches and merge what's compatible.

