Avraham Sheinin
About Avraham Sheinin
Avraham Sheinin is a Technical Product Manager at Cerebras Systems, where he has worked since 2023. He has a diverse background in data science and product management, with previous roles at Memorial Sloan Kettering Cancer Center and Capgemini.
Work at Cerebras Systems
Avraham Sheinin serves as a Technical Product Manager at Cerebras Systems since 2023. In this role, he leads the training and development of large language models (LLM), focusing on enhancing product management effectiveness. His responsibilities include bridging data science initiatives with business objectives to improve overall product outcomes.
Previous Experience in Healthcare and Data Science
Before joining Cerebras Systems, Avraham Sheinin worked at Memorial Sloan Kettering Cancer Center. He served as a Case Rate/Outcomes Actuarial Specialist from 2017 to 2020 and later as a Data Scientist in Managed Care and Outcomes from 2020 to 2021. His experience in healthcare analytics contributed to his understanding of data-driven decision-making in complex environments.
Career at Capgemini
Avraham Sheinin held multiple roles at Capgemini, including Senior Data Scientist and Senior Data Science Consultant. His tenure lasted from 2021 to 2023, during which he implemented machine learning initiatives across various industries, such as global supply chain and marketing. His work focused on leveraging data science to drive business solutions.
Education and Expertise
Avraham Sheinin earned a Bachelor of Arts in Statistics and Business Administration from The Hebrew University of Jerusalem, completing his studies from 2013 to 2016. He furthered his education at Cornell Tech, where he obtained a Master of Engineering in Computer Science from 2020 to 2021. His academic background supports his expertise in data science and product management.
Research Experience
In 2016, Avraham Sheinin worked as a Research Assistant at The Tikvah Fund for six months in Jerusalem. This role provided him with foundational research skills that complement his data science and product management capabilities.