• Developed DecisionHub, an automated dispute management system using explainable AI principles, improving dispute resolution efficiency by 12%.• Led full development lifecycle for DecisionHub in AWS SageMaker, ensuring compliance with OCC Model Risk Management regulations.• Designed and implemented HubAssist, an internal employee chatbot powered by Claude 3.5 and RAG, compatible with nested tables and images, reducing incorrect responses by 31% based on user feedback.

• Lead developer of Customer Lifetime Value (LTV) utilized for revenue forecasting, and churn minimization• Worked with cross-functional team, to attain 6% projected LTV increase via state-based retention strategies• Developed probabilistic classifiers to achieve a consistent 84% accuracy in predicting paythrough and renewal rates, under a data drift context • Developed call routers using both, traditional machine learning and deep learning, to achieve an increase in sales of 8%• Responsible for optimal Product-Mix plans using Optimization techniques, resulting in an expected boost in profits of approximately $2 million• Developed and automated Database differencing to detect anomalies in the Data Warehouse, while also engineering SQL based logics to remove any discrepancies from it• Utilize various machine learning techniques that drive the larger products of Data Science team. This includes, dimensionality reduction, data imputation, outlier detection• Implemented automated testing protocols for deployed models utilizing A/B testing and Thompson sampling methodologies.