You will get a cleaned, validated CSV with Excel output and audit report
Project details
You will receive a dependable cleanup of one CSV dataset with up to 25,000 rows. I will remove duplicate records, normalize date fields, handle missing numeric and text values, clip numeric outliers using a documented IQR rule, and sort the result chronologically when a date column is available. Delivery includes a cleaned Excel workbook, a concise Markdown audit report describing what changed, and the reusable Python cleaner with setup instructions. I validate the output against your requested duplicate key and preserve any fields you identify as protected. This service is designed for a bounded, one-day turnaround—not an open-ended analytics project.
Data Tool
PythonWhat's included $95
These options are included with the project scope.
$95
- Delivery Time 1 day
- Number of Revisions 1
- Number of Pages Mined/Scraped 1
- Number of Sources Mined/Scraped 1
Frequently asked questions
About Carlos
Python & TypeScript Automation | CSV Cleanup | API Integrations
Austin, United States - 7:20 pm local time
Best-fit projects:
• CSV cleanup, normalization, validation, deduplication, and export
• Python or TypeScript scripts, command-line tools, and scheduled jobs
• REST API integrations, webhooks, and data pipelines
• Cloudflare Workers and lightweight backend automation
• Debugging, maintenance, and targeted feature additions
• Authorized security testing and defensive automation
I work especially well on bounded projects that can be diagnosed, implemented, tested, and handed off quickly. You receive readable code, clear setup instructions, validation against sample data, and an honest summary of assumptions or edge cases.
My background also includes AI evaluation and prompt engineering, technical English/Spanish translation, and detail-heavy quality review. That combination is useful when an automation project involves messy text, multilingual data, or AI-generated output.
Send me the current script or workflow, a sample input, and the desired output. I’ll identify the smallest dependable fix and give you a concrete delivery plan.
Steps for completing your project
After purchasing the project, send requirements so Carlos can start the project.
Delivery time starts when Carlos receives requirements from you.
Carlos works on your project following the steps below.
Revisions may occur after the delivery date.
Clean, validate, and deliver your dataset
I inspect the file, remove duplicates, normalize dates and missing values, validate the output, then deliver a cleaned Excel workbook, an audit report, and the reusable Python cleaner.