Loan Prediction System: Machine Learning with 0.91 ROC-AUCLoan Prediction System: Machine Learning with 0.91 ROC-AUC
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Davit Arsenyan
• 15h
Developed a machine learning system to predict which banking customers were most likely to take a loan within the next 30 days using behavioral and financial data. Built a feature engineering pipeline, achieved a ROC-AUC of 0.91 with LightGBM, and integrated SHAP explainability into a Flask dashboard for business users.
Machine Learning EngineeringData AnalysisFrontend DevelopmentPythonscikit-learnTensorFlow
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