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Berkeley Data Science Panel 2017
Where: Li Ka Shing Auditorium
92 people came
The Berkeley Data Science Panel is the annual data science-related career-driven event at UC Berkeley. This is the 2nd Annual Data Science Career Panel in UC Berkeley hosted by Data Science Society at Berkeley (DSS @ Berkeley) and Machine Learning at Berkeley (ML@B). Our theme for this year is Data Science & Machine Learning in Multimedia and Advertising.
We will bring you 8 leading data scientists from companies like Facebook, Apple, Huawei, Baidu, Spotify, Instagram, and GE digital. These speakers will share their research, insights, and findings. Come for a chance to learn from industry leaders, network with professionals, and share your resume to get a shot at your dream jobs.
Time: November 18th, 12:30pm - 6:00pm
Location: Li Ka Shing Auditorium
RESUME DROP: Available
Dress Code: Campus Casual
Software Engineer/Data Engineer at Spotify
Senior Manager - Analytics & Data Science at LinkedIn
Director of Mobile AI at Huawei
Principal Data Scientist at GE Digital
Data Scientist - Augmented Reality at Instagram
Research Scientist at Baidu
Data Scientist at Facebook
Principal Scientist at Adobe Research
Founded in early 2016, Data Science Society at Berkeley is UC Berkeley’s first and only undergraduate student organization focused on Data Science. Established on the pillars of education, professional development, and community, Data Science Society at Berkeley has a long-standing record of helping students build their Data Science skills through learning opportunities and cultivating an academic environment by connecting students with industry leaders and researchers. For further information please visit us at dss.berkeley.edu or email us firstname.lastname@example.org.
ML@B is a student run organization that aims to foster a vibrant ML community at UC Berkeley. We accomplish this by offering educational resources to both UC Berkeley students and anyone interested in exploring machine learning, as well as by providing our club members with opportunities to work in academic research and industry settings on complex, current problems. We strive to be the network connecting motivated students to advanced academic opportunities like graduate ML courses as well as the companies and research labs that can inspire and empower them to accomplish even more. For further information please visit ml.berkeley.edu.See on Facebook >
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