Overview
What this work focused on
A research project on machine learning models for credit risk prediction, developed through advanced study in algorithms and data.
Research / Machine Learning Research
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.
Highlights
Key takeaways
Studied machine learning concepts including logistic regression, CNNs, and transformers.
Applied those models to credit risk prediction and compared performance across approaches.
Strengthened my ability to connect theory, implementation, and critical evaluation in research work.