I will clean and preprocess your messy dataset using python and pandas

Messy data slows everything down, wrong data types, missing values, duplicate rows, inconsistent formatting. I'll clean your dataset using Python and pandas so it's ready for analysis or modeling.

I recently handled this exact problem at scale during an ML internship, cleaning and preparing data across 18 monthly files (~79 million rows total) for a production-style scoring model, including catching a tricky bug where a numeric column was silently stored as an invalid type and had to be properly converted before it could be used.

What I'll deliver:

• Duplicates and irrelevant rows removed
• Missing values handled properly (not just deleted blindly)
• Data types fixed and validated
• Clean, ready-to-use CSV/Excel output
• A short note on what I fixed and why

Send your file and tell me what you're trying to do with it, I'll take it from there.