Rafi Khasawneh’s Graduation Project
Welcome to the central platform for managing and evaluating credit card requests using advanced data analytics. Please select your entry point below.
Credit Card Default Forecasting using Machine Learning
This web platform is part of Rafi Khasawneh’s Graduation Project, tackling the challenge of predicting credit card default using state-of-the-art machine learning.
It analyzes behavioral and financial data using models like Histogram-Based Gradient Boosting and applies threshold-tuning for smarter approvals.
The system evaluates applicants using three risk profiles: Conservative, Balanced, and Aggressive — aligning credit decisions with bank strategy.
Supervised by the Department of Business Intelligence and Data Analytics