You will get Analyst-Validated Data Cleaning & Transformation (Excel)
Project details
Cleaning a spreadsheet is easy. Getting the judgment calls right is the hard part — and that's where most cleanup work quietly falls short. Take duplicates: checking one column for repeats isn't enough if two different records can share an ID but represent genuinely different things. Or blanks: a missing price and a missing discount don't mean the same thing, and treating every blank the same way is often the wrong call. This project takes the time to work through those distinctions properly, rather than applying one rule across the board. Every transformation is a live formula tied back to the original file, so nothing is manually retyped and everything stays traceable. A full sample is attached showing this exact process end to end.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 0 | 0 | 0 |
About Liudmila
AI Output Validation & Data QA Specialist
Sayreville, United States - 1:08 pm local time
My core work spans data quality assurance, custom data pulls, and research design. I build validation frameworks that catch structural and logical errors, write SQL queries and Python scripts to surface anomalies, and turn messy, high-volume datasets into clean outputs that decision-makers can use with confidence.
Lately, a growing part of my work is AI output validation — reviewing AI-generated analyses and reports for factual accuracy, logical consistency, and methodology gaps. As AI tools produce faster than most teams can QA, I've become the human check that catches what the automation misses.
Remote, reliable, and responsive. If you're not sure whether your data — or your AI's data — is telling you the truth - lets connect.
Steps for completing your project
After purchasing the project, send requirements so Liudmila can start the project.
Delivery time starts when Liudmila receives requirements from you.
Liudmila works on your project following the steps below.
Revisions may occur after the delivery date.
Order & Requirements
Client purchases and sends the raw file, duplicate-defining fields, and any blank-handling rules.
Initial Review
I scan the raw data for datatype issues, likely duplicate patterns, and fields that need enrichment or cross-checking.