Recent Master's graduate with a strong foundation in quantitative analytics and model validation. Skilled in providing leadership, governance, and oversight for climate-related economic, loss, balance, and revenue forecasting. Proficient in quantitative techniques, including logistic regression, time series modeling, machine learning, and hazard modeling. Well-versed in programming with SAS, Python, and R. Adept at engaging diverse stakeholders and ensuring compliance with model risk management policies and regulatory guidance. Eager to contribute expertise and reduce model risk while adhering to industry best practices.