At KeyBank, I build predictive models for claim severity, frequency, loss propensity, and profitability, turning policy, premium, exposure, and claims data into underwriting and risk insights. I also use NLP on claims and underwriting narratives and deliver executive dashboards in Power BI and Tableau.
Previously at Cigna and Ebix, I delivered end-to-end data science solutions spanning workforce forecasting, feature engineering, model deployment, data pipelines, and reporting. I work hands-on with Python, SQL, machine learning, deep learning, GenAI, LLMs, and cloud-based analytics environments.
