I help businesses turn messy, inconsistent data into clean, structured datasets ready for analysis or reporting.
I work with Excel/CSV files and Python (Pandas, NumPy) to handle missing values, remove duplicates, fix formatting issues, correct data types, and organize raw data into something usable. I recently completed a Data Analysis Using Python certification and have hands-on project experience cleaning and analyzing real-world datasets, including building a full data pipeline for a machine learning project from raw data through to a working model.
I'm a Computer Science student currently focused on data analysis and machine learning, so I bring both technical care and a genuine interest in getting the details right. I'm responsive, detail-oriented, and comfortable working with clients on ongoing or one-off data cleaning tasks.
If you have a dataset that needs cleaning up, organizing, or preparing for analysis, I'd be glad to help.