Michael Tompkins
About Michael Tompkins
Michael Tompkins serves as the Head of Data & ML Platforms at Faire, having previously held significant roles in data science and engineering at various companies including NerdWallet, Roofstock, and Chime.
Current Role at Faire
Michael Tompkins serves as the Head of Data & ML Platforms at Faire, a position he has held since 2024. In this role, he oversees the development and implementation of data strategies and machine learning platforms that support the company's operations and growth. His expertise in data science and machine learning is integral to enhancing Faire's data capabilities.
Previous Experience at NerdWallet
Prior to his current role, Michael worked at NerdWallet as the Director of Data Science from 2018 to 2020. During his tenure, he was responsible for leading data-driven initiatives that supported the company's financial decision-making tools. His leadership in data science helped to enhance the analytical capabilities of the organization.
Professional Background at Roofstock and Chime
Michael held the position of VP of Data at Roofstock from 2022 to 2024, where he directed data strategies to improve real estate investment processes. Before that, he worked at Chime as VP of Data Science & ML Engineering from 2020 to 2022. His work at Chime focused on leveraging data science to enhance financial services for consumers.
Education and Academic Achievements
Michael Tompkins earned his PhD in Engineering, specializing in Computational Electromagnetics & Geophysics, from the University of Wisconsin-Madison, where he studied from 1997 to 2002. He also obtained a Master of Science in Geophysics from the same institution in 1998. Earlier, he completed his Bachelor's degree at Ohio University from 1993 to 1996.
Early Career at Sandia National Laboratories
Michael began his career as an Intern Scientist at Sandia National Laboratories in 2001, where he worked for four months in Albuquerque, New Mexico. This early experience contributed to his foundational knowledge in scientific research and data analysis, setting the stage for his future roles in data science and engineering.