In a previous project, I used a gradient boosting model to predict customer churn. I cleaned the dataset, tuned hyperparameters like learning rate and tree depth, and achieved a 15% improvement in accuracy over a baseline logistic regression. I’d apply similar techniques at Upstart to refine credit risk predictions.
