I will securely clean your spreadsheet data with an audit log
About this Gig
If you spend hours fixing broken phone numbers and inconsistent dates before a CRM import, I can automate the process. I use Python/Pandas scripts to systematically lock column structures, paired with a secure, paid-tier AI strictly to clean ambiguous text. This hybrid approach eliminates human error, ensuring your data is safe for upload.
Why choose this service?
- Enterprise Privacy: Your data is processed via a secure API and never used to train public models.
- The Audit Log: Trust is everything. Every delivery includes a row-by-row log detailing exactly what changed.
- Structural Safety: Your rows stay intact. My dictionary-based processing architecture maps data by field rather than manipulating cells in place, so rows cannot shift or become misaligned unless explicitly instructed.
What My Pipeline Fixes:
- Layout Preservation: Extracted data (like extensions) is appended to the far right so VLOOKUPs never break.
- Phone Standardization: Converts messy text into clean, uniform formats.
- Date Standardization: Unifies inconsistent dates across the entire file.
- Deduplication: Safely removes identical records without accidental data loss.
Message me for a 50 row sample if you are hesitant!
FAQ
Is my proprietary business data safe?
Yes. Your files are processed via a paid, commercial API and never used to train public AI models. For your convenience, I hold your dataset in an isolated environment for 14 days post-delivery to allow for any requested revisions. After 14 days, all files are permanently wiped.
Will this break my existing formulas or VLOOKUPs?
No. My pipeline deterministically locks your exact row and column structure in place. Any newly extracted data (like separated phone extensions) is safely appended to the far right as new columns, ensuring your connected dashboards remain completely intact.
What if my spreadsheet is larger than 10,000 rows?
I am fully equipped to handle large-scale structural datasets well beyond 10,000 rows. Please send me a direct message with a brief overview of your total file size and specific formatting goals, and I will generate a custom order and timeline for your business.
Why is enterprise-level cleaning priced so affordably?
I use an automated Python pipeline for efficiency, avoiding slow manual labor. More importantly, I am a new seller on this platform. I am currently offering introductory pricing to build my freelance reputation and earn positive client reviews while delivering enterprise-level results.
What environment is used to process my proprietary data?
For maximum security, your files are never processed on a standard operating system. I execute the data pipeline inside a strictly isolated Virtual Machine (VM). This quarantines your dataset from external interference and ensures a clean, verifiable wipe of all files after delivery.
What is the Audit Log included in the delivery?
Transparency is critical. Alongside your cleaned dataset, you receive a detailed document logging exactly what the pipeline modified. It tracks deduplicated rows, standardized formats, and extracted strings, so you never have to guess what changed in your database.
What file types do you accept for cleaning?
I accept standard structured spreadsheet formats, primarily .CSV and .XLSX (Excel). If your data is currently housed in a different format or software export, please message me prior to ordering so I can verify it will integrate cleanly with the automated pipeline.
How do you handle blank cells or missing data?
The pipeline standardizes messy blanks (like "N/A", "null", or empty spaces) into a single, uniform placeholder of your choosing. It strictly avoids "guessing" or hallucinating missing information, guaranteeing your final dataset remains 100% factually accurate.
