Messy data leads to wrong decisions. I will transform your raw, disorganised datasets into clean, analysis-ready files. As a B.Tech student specialising in Data Science, I use Python to ensure 100% accuracy and efficiency.

What I will do for you:
1. Missing Value Treatment: Intelligently handling NaNs using Mean/Median or KNN imputation.
2. Outlier Detection: Identifying and fixing extreme values that skew your results.
3. Data Standardisation: Ensuring consistent formats (Dates, Currency, Units).
4. Deduplication: Removing redundant records to save you storage and time.
5. Encoding: Converting categorical text into numerical data for ML models.