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Dave Holtz
Professor at University of California, Berkeley, Haas School of Business
David Holtz is a data scientist with a strong background in cosmological physics and a diverse range of creative pursuits. His specialties include reviews and reputation management, data processing, predictive modeling, data analysis, databases, A/B testing, visualization and reporting, and product management. Learn more about his work at www.daveholtz.net.
David's education includes a Doctor of Philosophy (PhD) in Information Technology from the Massachusetts Institute of Technology - Sloan School of Management, a Master of Arts (M.A.) in Physics and Astronomy from The Johns Hopkins University, and a B.A. in Physics and Theater from Princeton University.
Throughout his career, David has held various roles at prominent organizations. These include serving as an Assistant Professor at the University of California, Berkeley, Haas School of Business, and holding research positions at Microsoft, Spotify, and Facebook. He has also worked as a data scientist at companies like Airbnb and TrialPay (acquired by Visa), and as a product manager at TrialPay. Additionally, David has experience as a course instructor at Udacity and has worked in research and technician roles at Princeton University, Johns Hopkins University, and the Atacama Cosmology Telescope.
David Holtz's professional journey reflects a combination of academic prowess in physics and astronomy, coupled with extensive experience in data science, product management, and technology research. His multifaceted background enables him to excel in various domains, from academia to industry.
David's expertise in areas such as data analysis and predictive modeling, coupled with his creativity in endeavors beyond his core profession, showcases a well-rounded and innovative professional. His track record of contributions to different fields underscores his adaptability and skill versatility.
Highlights
A friendly reminder that abstracts for @CODEConference 2024 are due on Sept. 6!
It's a big tent and we welcome work from all different fields. Please send us any work that is related to digital experimentation, we'd love to take a look!