Jeffrey Yau

An expert in quantitative modeling, Jeffrey brings over 17 years of experience applying econometric, statistic, and mathematical modeling techniques to real-world challenges. He brings a strong background in finance as well as a passion for leading data science teams in finding innovative solutions to challenging business problems.

Events

2017

  • Strata + Hadoop World CA 2017

    San Jose, CA

    Many of us will be at Strata in San Jose, and we’d love to see you there! Come learn more about data platforms, data strategy, business tools, and more.

Past Events

2015

  • DataPalooza

    San Francisco, CA

    Join us for a demo and talk on our Caltrain Rider app, which presents an intuitive view of the Caltrain systems using data from our own sensors (video, audio) combined with publicly available data from Twitter and the Caltrain API.

  • Data Dialogs Conference

    Berkeley, CA

    Come hear from practitioners and scholars who are designing new data science tools and applications and using data in meaningful and beneficial ways, including CTO John Akred and VP of Data Science Jeffrey Yau.

2016

  • DataEDGE 2016

    Berkeley, CA

    VP of Data Science Jeffrey Yau, along with Data Scientists Chloe Mawer and Daniel Margala, will be presenting on predicting train delays. See more about our train work here.

  • PyData San Francisco 2016

    San Francisco, CA

    We’ll be at PyData, looking to learn more about how data scientists are using Python. Have a cool story, or questions of your own? Be sure to come find us.

  • Enterprise Dataversity 2016

    Chicago, IL

    Several of us will be in Chicago this year, presenting tutorials on data strategy, data platforms, and how to manage data science in the enterprise. CTO John Akred will also be taking part in a panel about how to strengthen your data strategy skills.

  • TDWI San Diego 2016

    San Diego, CA

    CTO John Akred, VP of Data Science Jeffrey Yau, and Senior Data Scientist Cindi Thompson will teach a three-hour tutorial in which they will share our methods and observations from three years of effectively deploying data science in enterprise organizations. Attendees will learn how to be an effective member or manager of a data science team.

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