You will get a clean, deduplicated, and organized Excel or CSV file

Project details
I will turn your messy Excel or CSV file into a clean, structured, analysis-ready dataset. Great for reporting, CRM imports, pivot tables, dashboards, and business records that need to be accurate and easy to use. I standardize headers, trim messy text, fix common data type issues (dates/numbers), remove obvious blanks, and flag duplicates (not delete them) so you don’t lose records. You’ll receive the cleaned file plus a short change summary noting what was updated and any issues found. Your original file stays untouched, and I provide a cleaned version plus a short summary of what changed.
Data Tool
Microsoft ExcelWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 1 day
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Extra sheet cleanup
(+ 1 Day)
+$25
+25k more rows
(+ 1 Day)
+$30
Add 1 normalized field
(+ 1 Day)
+$50Frequently asked questions
About Billy
Python Developer | Data Pipelines, Web Scraping, SQL & Automation
Smiths Station, United States - 7:07 am local time
I specialize in Python automation, web scraping, SQL database imports, file cleanup, and dashboards that make reporting faster and decisions easier.
Whether you need 50 spreadsheets standardized, a website scraped into CSV/JSON, or a dashboard built from raw business data, I deliver clean outputs, clear documentation, and a fast path to results.
Built Python workflows for data extraction, cleanup, transformation, and reporting
Created dashboards and analysis in Tableau, Excel, Python, and SQL
Worked on structured legal-data scraping and normalization projects with large hierarchical datasets
Comfortable with messy source data, duplicate handling, audit trails, and repeatable automation
Steps for completing your project
After purchasing the project, send requirements so Billy can start the project.
Delivery time starts when Billy receives requirements from you.
Billy works on your project following the steps below.
Revisions may occur after the delivery date.
Quick intake & confirm target output
Description: Review the file, confirm sheets, goal, and output format.
Clean headers & fix data types
Standardize headers, trim whitespace, fix dates/numbers stored as text, remove blanks.


