Evan Trippler
About Evan Trippler
Evan Trippler is a Machine Learning Engineer with a diverse career spanning the insurance and publishing industries. He has held significant roles at companies such as Elephant Auto Insurance, Meta, and Ledger Investing, and has a strong background in data science and machine learning applications.
Work at Ledger Investing
Evan Trippler currently serves as a Machine Learning Engineer at Ledger Investing, a position he has held since 2023. In this role, he applies his expertise in machine learning to develop data-driven solutions that support the company's objectives. His work contributes to the advancement of analytics within the organization, leveraging his extensive background in data science.
Career in Insurance and Publishing Industries
Evan Trippler has a diverse career trajectory that spans significant roles in both the insurance and publishing industries. He worked at Elephant Auto Insurance in various capacities, including Pricing Analyst and Sr. Pricing Analyst, before transitioning to data science roles. His experience includes positions at Markel and Elephant Insurance, where he focused on data-driven decision-making. He also held a role as Senior Data Scientist at Penguin Random House.
Experience at Meta
From 2022 to 2023, Evan Trippler worked at Meta as a Research Data Scientist. In this role, he contributed to research initiatives that utilized data science methodologies to inform product development and enhance user experience. His time at Meta further solidified his expertise in applying machine learning techniques in a large-scale technology environment.
Educational Background in Mathematics
Evan Trippler earned a Bachelor of Science (BS) degree in Mathematics from Virginia Tech, where he studied from 2010 to 2014. This educational foundation provided him with strong analytical skills and a solid understanding of mathematical principles, which he has applied throughout his career in data science and machine learning.
Transition to Machine Learning Engineering
Evan Trippler has a strong background in data science with a focus on machine learning applications. He has successfully transitioned from data analysis roles to machine learning engineering, showcasing his ability to adapt and grow within the field. His experience across various sectors has equipped him with the skills necessary to implement machine learning solutions effectively.