I will clean and preprocess your data for analysis or ml

WHAT I WILL FIX

• Missing values (drop, fill, interpolate or flag whichever makes sense for your data)
• Duplicate rows and columns (detected and removed with logic)
• Wrong data types (strings to numbers, date parsing, categorical encoding)
• Inconsistent formatting  (capitalisation, whitespace, special characters, units)
• Outlier detection and handling (IQR, Z-score flag or remove)
• Column renaming and restructuring  (clean headers, consistent naming)
• Feature scaling and normalisation  (MinMax, StandardScaler if needed)
• Encoding categorical variables  (Label encoding, One-Hot encoding)

WHAT YOU WILL RECEIVE

• Cleaned dataset (CSV or Excel)
• Python script (.py or .ipynb)
• Short report of what was changed and why no surprises
• Basic before/after summary(row counts, missing value counts, data types)

WHAT YOU NEED TO SEND ME

1. Your dataset (CSV, Excel, JSON)

2. What you plan to use it for (analysis, ML, dashboard etc.)

3. Any specific columns or issues to focus on (optional)

That's it. I handle everything else.

WHY CHOOSE ME

• Real experience cleaning research grade datasets not just tutorials
• Reproducible code you can reuse
• Clear documentation of every change
• Fast delivery