Create a credit risk analytics platform that evaluates loan applicants using financial and demographic data. The system will predict creditworthiness and assist banks in reducing default risk through data-driven scoring models.
Collect loan applicant datasets.
Preprocess financial and demographic data.
Identify risk indicators.
Implement classification models for credit scoring.
Evaluate model accuracy and false positives.
Create dashboards displaying applicant risk levels.
Compare multiple scoring models.
Optimize model hyperparameters.
Ensure compliance with financial regulations.
Document results and recommendations.
