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You will get Excel or CSV data cleanup and standardization
Project details
I will clean and standardize your Excel or CSV data so it is easier to use, review, and analyze. This service is built for messy spreadsheets with inconsistent column names, duplicate rows, bad date formats, formatting issues, and general cleanup problems. You will receive a cleaned output file and a short summary of what was corrected. I focus on practical, reliable cleanup that makes your data more usable without unnecessary complexity.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$49
|
Standard
$99
|
Advanced
$179
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 0 | 1 | 1 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$15Frequently asked questions
About Christian
Data Cleanup, Python Automation & Private Local AI Setup
Beloeil, Canada - 4:00 am local time
If your spreadsheets are inconsistent, your files are disorganized, or your team is wasting time on repetitive admin work, I build practical systems that make the workflow usable again.
My core services:
Excel/CSV cleanup and standardization
Python automation for repetitive office and file-handling tasks
Private local AI setup for offline or privacy-conscious workflows
Typical problems I solve:
Duplicate rows, broken dates, inconsistent formatting, and unusable spreadsheets
Manual renaming, sorting, report generation, and recurring file tasks
Local AI tools for document search, drafting support, and internal knowledge access without relying on cloud platforms
What you get:
Clear scope
Clean deliverables
Simple documentation
Practical solutions built for reliability, not hype
I focus on useful systems, direct communication, and work that saves time immediately.
Steps for completing your project
After purchasing the project, send requirements so Christian can start the project.
Delivery time starts when Christian receives requirements from you.
Christian works on your project following the steps below.
Revisions may occur after the delivery date.
Review file and requirements
I review your file, output format, duplicate-handling preference, and any cleanup rules or special constraints before starting the work.
Clean and standardize the data
I clean the file, normalize formatting, standardize columns where needed, and apply the requested cleanup rules.