I will do data cleaning and labeling

• I clean, preprocess, and prepare datasets so they are ready for analysis or machine learning, using Python (Pandas, NumPy) and Excel.

Services include: handling missing values and duplicates, outlier detection and treatment, data type conversion and standardization, feature engineering and encoding, merging and restructuring datasets from multiple sources, and labeling/annotation for structured or tabular data.

I have prepared real-world datasets for downstream ML pipelines, including production computer vision and predictive modeling projects, so I understand what a clean, well-structured dataset actually needs to work.

What you get: a clean dataset (CSV/Excel) or documented Jupyter notebook with clear preprocessing steps, plus a short summary of the changes made.

Message me with a sample of your data and your goal, and I will confirm scope and turnaround before you order.