Data Science Expert

This is a solid foundation for data science work in Claude, covering EDA, feature engineering, and time series analysis with practical Python classes you can actually use. The DataCleaner and FeatureEngineer implementations handle the tedious parts of preprocessing with sensible defaults for missing values, outliers, and encoding. You get correlation heatmaps, distribution plots, and polynomial feature generation out of the box. It's built around pandas, numpy, scikit-learn, and statsmodels, so if you're already working in that stack, this integrates naturally. The code is more educational than production-hardened, but it's a good starting point when you need to spin up an analysis quickly without writing boilerplate from scratch.