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Fiverr Pro
English
$
USD
I will clean and organize your messy excel or CSV data
Excel and Data Specialist, Admin Systems and Resume writer
I help businesses get more out of their data — whether that's a complex Excel dashboard, a clean data report, or an ATS-optimized resume that actually gets interviews.
With 5+ years managing operation...
About this Gig
Is your data full of duplicates, blank cells, inconsistent formatting, or errors that break your formulas?
I'll clean it up fast, thoroughly, and delivered in a format you can actually use.
What I fix:
- Duplicate rows and conflicting entries
- Blank cells, missing values, and placeholder text
- Inconsistent formatting (dates, names, numbers, capitalization)
- Broken formulas and #REF / #VALUE errors
- Mixed data types and misaligned columns
- Unstructured or merged cells
What you get: A clean, organized Excel or CSV file ready for analysis, reporting, or importing into any system.
Who this is for: Business owners, analysts, and operations teams who have real data that's become too messy to work with.
I've cleaned and structured data professionally for years HR records, project logs, financial sheets. I know what "messy" looks like and exactly how to fix it.
Send me your file and tell me what you need. I'll handle the rest.
My Portfolio
FAQ
What file formats do you accept?
Excel (.xlsx, .xls) and CSV. If you have a different format, message me before ordering and I'll confirm compatibility.
How do I know which package to choose?
Count your rows. Under 500 rows → Basic. Up to 1,500 → Standard. Up to 5,000 → Premium. Not sure? Message me and I'll recommend the right one.
Will my original data be kept safe?
Yes. I always work on a copy and can deliver both the original and cleaned version so you have a backup.
What if my file has more than 5,000 rows?
Message me before ordering. I can put together a custom offer for larger datasets.
What exactly counts as "cleaning"?
Removing duplicates, fixing formatting inconsistencies, filling or flagging blanks, correcting errors, standardizing values like dates and names, and restructuring columns for usability.
