Trevor Johnson is an accomplished data scientist with a strong foundation in actuarial science and over seven years of experience across various roles. Starting as a private math tutor, Trevor moved on to work as an actuarial research assistant at Brigham Young University, where significant contributions included time series forecasting and published research. Subsequent roles as an actuarial associate at Mercer and a data scientist at Lyft involved machine learning, medical risk scoring, and data engineering. Currently, Trevor serves as a data scientist in the growth team at Meta. Academic credentials include a Bachelor's degree in Actuarial Science from Brigham Young University and a Master's degree in Information and Data Science from the University of California, Berkeley.
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