I will clean and preprocess your dataset using python pandas
About this Gig
Is your dataset full of missing values, duplicate rows, or inconsistent formatting? Messy data leads to inaccurate analysis and failed ML models and fixing it manually takes hours you don't have.
I will professionally clean and preprocess your raw dataset using Python (Pandas & NumPy) so it is analysis-ready and machine learning-ready from day one.
What I will do for you:
- Remove duplicate rows and irrelevant columns
- Handle missing values (drop, fill, or impute)
- Fix inconsistent data types and formatting errors
- Encode categorical variables (label & one-hot encoding)
- Normalize or standardize numerical columns
- Deliver a clean Jupyter Notebook + final CSV/Excel file
Supported formats: CSV, Excel (.xlsx), JSON. Works for any industry e-commerce, finance, healthcare, and more.
Message me before ordering if you have a large or complex dataset I am happy to review it first at no cost.
My Portfolio
FAQ
What file formats do you support?
I work with CSV, Excel (.xlsx / .xls), and JSON files. If you have a different format, message me first and we can work it out.
What will I receive as a deliverable?
You will receive a cleaned dataset file (CSV or Excel) and, for Standard and Premium orders, a Jupyter Notebook (.ipynb) with all the steps clearly documented so you can understand exactly what was done.
Is my data safe and kept confidential?
Absolutely. Your data is used solely to complete your order and is never shared with third parties. I can sign an NDA if required. just let me know.
What if my dataset is larger than the package limit?
No problem. Send me a message with the row count and a brief description I will create a custom offer that fits your needs and budget.
Do you guarantee no data loss?
Yes, I carefully pre-process data to ensure accuracy and integrity. The original dataset is always preserved, and you’ll receive a cleaned version plus a log of changes (if requested).

