I think it was during the loan default prediction project at Northern Trust. We had internal payment data, but to make the model stronger, we also pulled in external credit bureau data like credit score, inquiry count, and public records. First thing was to clean and join this bureau data with our customer records. Then second step, I created features like recent score drop, increase in inquiries, and any delinquencies. After that, I added these features into