I will clean, preprocess and engineer features for your machine learning dataset

Is your dataset messy, inconsistent, or not ready for machine learning?

I will help you transform raw data into a clean, structured, model-ready dataset using Python.

What I can do:

• Handle missing values
• Convert string columns to proper data types (dates, numerics, categories)
• Remove duplicates & outliers
• Encode categorical variables
• Scale & normalize features
• Feature selection
• Feature engineering
• Data validation & quality checks

Tools I Use:

• Python
• Pandas
• NumPy
• Scikit-learn

You will receive:

• Cleaned dataset
• Well-commented Python code
• Explanation of what was done