Consumer Credit Risk Modeling

Developed and evaluated machine learning approaches to predict loan defaults and charge-offs, trained on a cleaned version of a LendingClub dataset covering loans issued from 2008 to 2015.

Work includes data preprocessing, feature engineering, model evaluation using classification metrics, and analysis of misclassification trade-offs.