You will get a professionally cleaned and formatted Excel or Google Sheet spreadsheet
Project details
"You'll get clean, accurate, and properly formatted spreadsheet data — free of duplicates, inconsistent text, and errors. I use lightweight Python automation alongside manual review to clean data faster and more reliably than typical manual entry. Whether it's customer lists, lead data, or order records, I deliver organized, ready-to-use files you can trust."
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Pages Mined/Scraped | 0 | 0 | 0 |
Number of Sources Mined/Scraped | 0 | 0 | 0 |
Optional add-ons
You can add these on the next page.
Data Visualization
+$20Frequently asked questions
About Igbekele
Data Entry Specialist | Excel Expert | Web Research & Data Cleaning
Auchi, Nigeria - 5:01 am local time
I help businesses, entrepreneurs, e-commerce stores, and professionals transform raw data into clean, organized, and actionable information. What sets me apart: I combine careful manual review with lightweight Python scripting to deliver faster, more accurate results than typical data entry — fewer errors, better formatting, and cleaner output.
My services include:
— Data entry and spreadsheet organization
— Duplicate removal and data cleaning
— Web research and lead list building
— Excel and Google Sheets formatting
— Python-assisted data processing for larger datasets
I'm detail-oriented, reliable, and focused on delivering work you can actually use. Whether your project is small or large, I treat every task with the same care and accuracy.
Let's work together to turn your messy data into a clean, organized asset."
Steps for completing your project
After purchasing the project, send requirements so Igbekele can start the project.
Delivery time starts when Igbekele receives requirements from you.
Igbekele works on your project following the steps below.
Revisions may occur after the delivery date.
Review & Plan
I review your file, confirm the cleaning requirements, and identify any data quality issues.
Clean & Process
I clean the data — removing duplicates, fixing formatting, and standardizing fields — using Python scripting and manual quality checks.