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David Strauss

Machine Learning Engineer at Facebook

David Strauss is a data enthusiast with a strong background in data analysis, model construction, and data pipeline development. His expertise lies in optimization, matrix multiplication, and Bayesian models.

David's educational journey includes a PhD and a Masters in Electrical Engineering from Stanford University, as well as a Bachelor of Arts in Physics from Dartmouth College. He also studied at St. Mark's and St. Mark's School of Texas.

With a wealth of professional experience, David has held roles such as Machine Learning Engineer at Meta, Principal Data Scientist at Oliver Wyman, Engagement Manager at Oliver Wyman, Data Scientist at Clara Lending, Principal Data Scientist at Euclid, and Graduate Research Assistant at Stanford University.

David's skills and interests encompass a wide range of topics, including data analysis, model building, data pipelines, optimization, matrix multiplication, and Bayesian models.

David Strauss
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Location

Greater Boston