Prototype risk modeling simulation for Portfolio using Arbiter.

🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀

Reassessment of P2P Credit Risk Modeling with Macroeconomic Factors

Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)

Quantify 2025 Energy Risk & Insurance Case Modeling high-loss CAT events and developing parametric risk triggers to support renewable energy expansion. Includes ML code, writing report, and Presentation.

End-to-end Python notebook that engineers a proxy “bad-client” label, explores drivers of credit risk, and builds a leakage-free XGBoost scorecard with threshold tuning and cross-validation.

A machine learning project to predict credit risk (GOOD or BAD) for loan applicants using historical loan data from 2007–2014. This solution helps multifinance companies minimize default risk and streamline loan approvals through accurate risk classification and a modern graphical user interface (GUI).