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EGG2017 - Content Analytics at Spotify by Daniel Levine

  February 20, 2018  ~    14.51 MB
EGG2017 - Content Analytics at Spotify by Daniel Levine

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Daniel Levine gives an overview of how the transition of music consumption to streaming has created a treasure trove of data around listening habits. He focuses on how the Content Insights team uses this data to empower Spotify’s content strategy, ranging from promoting new music on playlists to valuing content and understanding its impact on user growth.

Daniel Levine, Data Scientist at Spotify:

Daniel is a Data Scientist on the Content Insights team at Spotify where he works on empowering Spotify’s content strategy, particularly focused on new content types and understanding the effect of integrating this content into the user experience. Previously, he worked at SIG in Philadelphia where he applied those skills to the financial markets.
Daniel graduated in 2013 from Yale University, where he studied Computer Science and Economics, and is originally from Miami, FL. Outside of work, Daniel is an avid fan of technology & start-ups, traveling, concerts and playing basketball.

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