Data Cleaning & Validation for ML, Analytics & Reports

Karan Singh

Starting at

/hr

About this service

Summary

I offer professional data cleaning, preprocessing, and validation to ensure your datasets are accurate, consistent, and ready for analysis or machine learning. With expertise in Python (Pandas, NumPy) and real-world AI projects, I help you save time, eliminate data errors, and boost model performance.

FAQs

What data formats do you support?
I work with CSV, Excel, JSON, and Google Sheets.
Can you handle large datasets?
Yes — I can clean and validate large datasets efficiently using Python and batch processing.
Do you keep my data confidential?
Absolutely. All files are handled securely and deleted after project completion.
How long will it take?
Small datasets: 1–2 days; larger or complex data: 3–7 days depending on scope.

What's included

Cleaned & Validated Dataset
Receive a fully cleaned, structured, and validated dataset ready for analysis or model training. This includes handling missing values, removing duplicates, fixing inconsistencies, and standardizing formats (CSV, Excel).
Processing Scripts or Notebook
Python or Jupyter Notebook scripts used during data cleaning and validation, so you can reproduce, modify, or automate the process in future updates.

Skills and tools

Data Analyst

Database Engineer

Data Scientist