Python & Excel Data Cleaning Specialist | Turning Messy Data Into Usable Datasets

I help individuals and businesses turn messy, disorganized data into clean, structured datasets that are ready for analysis, reporting, or further work.

I work primarily with Excel/CSV files and Python (Pandas, NumPy), handling missing values, removing duplicates, fixing formatting inconsistencies, correcting data types, and organizing raw data into something usable. My approach is careful and methodical — I'd rather double-check a dataset than hand back something with hidden errors.

I'm currently a Computer Science student focused on data analysis and machine learning, and I recently completed a Data Analysis Using Python certification from 10Pearls University. Alongside my coursework, I've worked hands-on with real datasets — including building a complete data pipeline for a machine learning project, from raw data cleaning through feature engineering, model training, and evaluation. I also have experience with SQL and Microsoft SQL Server from university database projects, including designing schemas and writing queries.

I'm still early in my freelance journey, but I bring genuine technical skill, close attention to detail, and reliable communication. If you have a dataset that needs cleaning, organizing, or preparing for analysis, I'd be glad to help — and I'm happy to start with a small task so you can see my work firsthand before committing to something larger.

Work Terms

Available up to ~20-25 hours per week. I typically respond to messages within a few hours during Pakistan Standard Time (GMT+5) business hours. I'm comfortable with milestone-based payments for larger projects and fixed-price for smaller, well-defined tasks. Clear task descriptions and sample data upfront help me deliver faster and more accurately.