Roger Sarvate is an Associate of the Casualty Actuarial Society, Associate of the Society of Actuaries, and a Member of the American Academy of Actuaries, with a BA in Physics from the University of California, Berkeley, an MS in Systems Engineering from the Australian National University, and an MS in Analytics/Data Science from Dakota State University. He has over a decade of actuarial and analytical experience spanning property & casualty insurance, healthcare, and predictive modeling.

At Taylor & Mulder, Mr. Sarvate conducts detailed reviews of personal and commercial lines rate filings on behalf of insurance regulators, evaluates statistical ratemaking models for methodological soundness and regulatory compliance, and performs reserve analyses and audits for self-insured entities, captives, and insurers. His background in predictive modeling, pricing, trend analysis, and regulatory support informs his ability to assess both traditional and modern actuarial techniques in a consulting context.

Mr. Sarvate has extensive experience in predictive modeling, including both the design and evaluation of models used in ratemaking, underwriting, and econometric analysis, as well as those employed in telematics and usage-based insurance programs. He has developed and reviewed a wide range of models, including Generalized Linear Models (GLMs), Ridge Regression, LASSO, Elastic Net Regularization, Gradient Boosting Machines (GBMs), and ensemble methods. He is also well-versed in the application of splines, polynomial regressions, and principal components analysis (PCA) to enhance model flexibility and robustness and is proficient in variable selection and diagnostic techniques. Mr. Sarvate has a strong understanding of model evaluation metrics such as AIC, BIC, log loss, GINI, and out-of-sample validation methods, and has applied these tools in reviewing filed models for actuarial soundness, regulatory compliance, and business relevance.

Prior to joining Taylor & Mulder, Mr. Sarvate held actuarial and predictive modeling roles at Liberty Mutual Group, supporting both personal and commercial lines. His work included developing models to detect anomalous quoting behavior, optimize underwriting inspections, and identify emerging trends such as litigation-driven and inflationary severity in liability and property insurance. He also held actuarial and analytical roles across the insurance and healthcare sectors, gaining experience in rate indications, trend analysis, reserving, cost modeling, and operational reporting. With a blend of actuarial rigor, data science fluency, and clear communication, Mr. Sarvate brings a versatile and well-rounded skill set to his consulting work. His technical expertise spans R, Python, SAS, SQL, VBA, Tableau, and other tools commonly used in modern actuarial practice, enabling him to translate complex analytics into actionable insights for regulators and stakeholders.