Data Infrastructure and Data Science Meetup

OVERVIEW
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We're ready for our first meetup. We have 2 rock star data scientists, Keeyong and Larry from Udemy (http://www.udemy.com) San Francisco team. Our main topics are Data Infrastructure and Data Science in this meeting.

TALKS
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Title: Data Infrastructure (and Lessons Learned) at Udemy

Speaker: Keeyong Han (https://www.linkedin.com/profile/view?id=246767)

Abstract: Keeyong will share his experiences on setting up data infrastructures in different Silicon Valley companies (Udemy in particular). The focus of the talk will be on 3 things - Data Analytics using Redshift, Batch/Offline Processing using Hadoop/Hive and Realtime Processing.

Speaker Bio: Keeyong is Data Team Manager/Architect at Udemy. Prior to joining Udemy, he was Data/Search team manager at Polyvore and director of engineering at Yahoo Web search team. He started professional career from Samsung Electronics in Korea before moving to Silicon Valley.

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Title: Data Science at Udemy

Speaker: Larry Wai (https://www.linkedin.com/profile/view?id=21486117)

Abstract: Larry will discuss what data science means in general, and more specifically at Udemy. He will describe some key data science frameworks, and what it means for them to be agile. He will also discuss ideally what it would mean to be a data scientist at Udemy.

Speaker Bio: Larry is currently principal data scientist at Udemy focusing on agile data science frameworks and specific projects like relevance for ranking. He was previously a data scientist at Groupon, and a senior analytics manager for Yahoo Search. Before that, he was an experimental physicist at Stanford University, working on dark matter and neutrino research.

SCHEDULE
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6:15pm --> Doors Open, Networking, Enjoy Some Food

6:50pm --> Opening Talk

7:00pm --> Data Infrastructure (and Lessons Learned) at Udemy

7:50pm --> Coffee Break & Networking

8:00pm --> Data Science at Udemy

8:50pm --> Coffee Break & Networking

9:30pm --> End