You will get clean CSV data and deliver a clear quality report with Python
Project details
I will clean and validate your CSV file with a reproducible Python workflow. You will receive a separate cleaned CSV plus a concise quality report showing what was found and changed, including duplicate rows, blank cells, inconsistent spacing, and invalid records covered by the agreed rules. This service is designed for clearly defined datasets that need reliable cleanup before reporting, import, analysis, or automation. I verify row counts and preserve the original file.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 1 | 2 |
Number of Pages Mined/Scraped | 1 | 1 | 3 |
Number of Sources Mined/Scraped | 1 | 1 | 3 |
Frequently asked questions
About Ricardo
Automation & Digital Solutions | Python, Data, Research
Quito, Ecuador - 1:09 am local time
SERVICES
• Python scripts and workflow automation
• CSV and Excel cleanup, transformation, validation, and reports
• Web research with organized findings and source links
• GitHub issue analysis, bug fixes, tests, and documentation
• API integrations, data extraction, and file processing
• Technical writing, SOPs, guides, and structured content
• Content repurposing and basic video post-production
WHAT YOU CAN EXPECT
• Clear scope before work begins
• Fast communication and practical solutions
• Tested, organized files with instructions
• Honest progress updates and on-time delivery
• English and Spanish support
I am especially suited for quick fixed-price tasks, proof-of-concept scripts, debugging, research briefs, and process improvements. Send the goal, inputs, expected output, and deadline, and I will turn them into a concrete execution plan.
Steps for completing your project
After purchasing the project, send requirements so Ricardo can start the project.
Delivery time starts when Ricardo receives requirements from you.
Ricardo works on your project following the steps below.
Revisions may occur after the delivery date.
Inspect the CSV and confirm cleanup rules
I review the file structure, row count, required columns, and agreed validation rules before changing any data.
Clean and validate the data
I run the reproducible Python cleanup, apply the package rules, and verify row counts and output integrity.