Built and deployed a Flask-based machine learning system to predict loan default risk using customer demographics and financial indicators. Applied advanced ensemble models like XGBoost and LightGBM to achieve ~99% accuracy. Designed a full-stack solution with real-time prediction capabilities, enabling faster, smarter loan decisions in banking.
machine-learning scikit-learn xgboost lightgbm ensemble-learning predictive-modeling risk-assessment loan-default-prediction model-deployment python-project flask-webapp model-interpretability real-time-prediction loan-risk-analysis loan-approval-system banking-analytics financial-predictions credit-risk-modeling web-based-ml pickle-model
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Updated
Mar 12, 2026 - Python