Andrew is a principal specializing in loss reserve analyses, data analytics, and predictive modeling for self-insured organizations.
In addition to his expertise in traditional property and casualty (P&C) lines, he possesses a unique skill set in quantifying insurance risk for esoteric coverages with limited or no available data. Andrew identifies himself as an actuarial data scientist, combining his strong insurance background with innovative applications of data science and predictive analytics concepts.
I help clients understand the quantification of their P&C insurance risk. Beyond delivering high quality actuarial work products, my ultimate goal is for my clients to think of me as a trusted advisor
Andrew's great appreciation for applying mathematical and statistical coursework to real-world risk quantification led him to pursue a career in actuarial science immediately after completing his college education. Prior to joining Oliver Wyman, he served as a senior actuarial analyst at Farmers Insurance Group, where he contributed to the personal lines reserving and catastrophe modeling teams.
As a strong believer in education, Andrew aspires to become a math teacher in his golden years, aiming to inspire young minds to develop a love for learning as much as he does. He is a Fellow of the Casualty Actuarial Society and a member of the American Academy of Actuaries.