Clayton Yochum
About Clayton Yochum
Clayton Yochum is a Machine Learning Engineer at Abridge, where he has worked since 2023. He has extensive experience in data engineering and machine learning, having held various roles at companies such as Everactive, Socure, and Betterment.
Work at Abridge
Clayton Yochum has been employed at Abridge as a Machine Learning Engineer since 2023. In this role, he focuses on developing machine learning solutions that enhance the company's offerings. His work contributes to the advancement of technology in the healthcare sector, aligning with Abridge's mission to improve patient care through innovative data solutions.
Previous Experience in Data Engineering
Prior to his current position, Clayton Yochum held several roles in data engineering and analytics. He worked at Socure as a Staff Data Engineer from 2022 to 2023, where he contributed to data science enablement and operations. Before that, he was a Senior Staff Engineer at Everactive for four months in 2021, focusing on cloud platform development. His experience also includes a position as Lead Data Engineer at Betterment for six months in 2021.
Background in Data Science and Analytics
Clayton Yochum has a robust background in data science and analytics. He worked at Everactive as a Staff Engineer in Data Science from 2019 to 2021, where he built data-driven projects. His earlier roles include serving as a Business Intelligence Analyst and Performance Analyst/Software Engineer at Barracuda from 2012 to 2016. He also worked as a Data Analyst at the University of Michigan School of Social Work from 2015 to 2017.
Education and Expertise
Clayton Yochum earned a Bachelor of Science in Mathematics with a minor in Economics from Michigan Technological University, completing his studies from 2008 to 2012. His educational background supports his expertise in data analysis, machine learning, and software engineering. He has a track record of building projects from scratch and has experience processing large datasets, including billions of GPS pings to identify fraud.
Professional Preferences
Clayton Yochum prefers working in small teams and companies that offer freedom to build and iterate on projects. This preference aligns with his experience in various startups and smaller organizations, where he has been able to leverage his skills in machine learning and data engineering to create impactful solutions.