An EDA pipeline for the UCI Adult Income dataset that outputs a markdown data quality report instead of just notebook cells. Everything downstream in this path — features, training, monitoring for drift — only means something if you can point back to what “normal” looked like in the data to begin with. This project is that baseline.
A documented, repeatable EDA process is the kind of unglamorous rigor that separates 'I trained a model' from 'I understand what the model is learning from' in an interview.