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Careers in Data Science: Kazuki Sakamoto '09

Kaz Sakamoto is a senior data scientist at Lander Analytics, an Adjunct Professor of Urban Analytics at Columbia University-GSAPP and research affiliate with the Civic Data Design Lab at MIT. Prior to joining Lander Analytics he worked as a data scientist at Goldman Sachs in the Technology division where he was building out a data science platform to optimize internal infrastructure. Kaz earned his MS from Columbia University and a BA in biology from the University of Rochester.

Hear about his career path, his work projects, and his tips for having a career in data science.

Light lunch following the talk. RSVP recommended on Handshake or Event Calendar to help us determine food count.

Friday, September 7, 2018 at 12:00pm to 1:00pm

Wegmans Hall, Auditorium 1400
250 Hutchison Rd, Rochester, NY 14620

Event Type

Lectures and Talks


General Public, Faculty, Students, Alumni, Staff


data science

Goergen Institute for Data Science
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