Teresa Zhang, Ph.D.
About Teresa Zhang, Ph.D.
Teresa Zhang, Ph.D., serves as the Head of Data Engineering at Clover Health and has a strong background in data science and analytics. She has held various roles in notable companies, focusing on building data-driven cultures and developing scalable data platforms.
Work at Clover Health
Teresa Zhang, Ph.D., serves as the Head of Data Engineering at Clover Health since 2023. In this role, she focuses on developing and enhancing data infrastructure to support the company's healthcare initiatives. Her responsibilities include overseeing data engineering processes and ensuring that data systems are efficient and scalable. Zhang aims to foster a data-driven culture within the organization, aligning data strategies with business objectives.
Previous Experience in Data Science
Prior to her current position, Teresa Zhang held various roles in data science and analytics. She worked at Ritual as the Director of Data Science and Analytics from 2021 to 2023, where she led data initiatives. Before that, she was a Senior Data Scientist at Zest AI from 2018 to 2020, focusing on machine learning models for underwriting. Zhang also gained experience as a Lead Data Scientist at Parachute Home from 2020 to 2021 and as a Data Scientist at Avant and Spokeo from 2015 to 2018.
Education and Expertise
Teresa Zhang holds a Ph.D. in Applied Mathematics from the University of Southern California. She also earned two Bachelor's degrees from Rutgers University, one in Mathematics, Honors, and another in Economics, graduating Magna Cum Laude. Her educational background equips her with strong analytical skills and a solid foundation in quantitative methods, which she applies in her data science roles.
Focus on Data-Driven Culture
Zhang emphasizes the importance of building a data-driven culture within organizations. She has extensive experience collaborating with marketing teams on customer retention and segmentation analysis. Her strategic approach includes designing robust and scalable data platforms using modern data stacks, which enhances the effectiveness of data-driven decision-making processes.
Achievements in Data Engineering
Throughout her career, Teresa Zhang has successfully built production-ready machine learning models, focusing on model explainability and performance analysis. She has collaborated with product and engineering teams to deliver impactful data products, including web event tracking design and product analytics. Her work contributes to the advancement of data capabilities within the organizations she has been part of.