Credit Risk Modeling Research

Through the Algorithm for Big Data program, I studied topics such as data transmission, reconstruction, logistic regression, CNNs, and transformers. I then applied those methods to credit risk prediction, comparing model behavior and performance. The project strengthened both my technical interest in machine learning and my habit of evaluating models through practical outcomes rather than abstraction alone.