End-to-end Industrial AI system using Machine Learning and SQL to predict machinery failure. Achieved $88.2M in simulated savings with an 0.81 R² score and a real-time Streamlit dashboard.
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Updated
Jul 15, 2026 - Python
End-to-end Industrial AI system using Machine Learning and SQL to predict machinery failure. Achieved $88.2M in simulated savings with an 0.81 R² score and a real-time Streamlit dashboard.
Strategic ML engine for credit risk: Recovering $460M in lost revenue via XGBoost and Survival Analysis on a 2.2M record portfolio.
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