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    David Flatow

    David Flatow

    MS in Statistics Data Science @ Stanford. Not just Stats/ML expert. Deep software development exp, and CS fundamentals. High code standards. Ship on time.

    Data Scientist Stanford Stanford University '16
    github.com
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    Experience
    Allocate.ai
    Allocate.ai
    Founder
    Stanford University
    Stanford University
    Employee 2011 - Present (over 15 years)
    x.ai
    Exit
    x.ai
    Data Scientist 2015 (3 months)
    Taught Amy how to "read" threaded conversations
    Cornell Tech
    Cornell Tech
    Researcher 2014 (3 months)
    DataKind
    DataKind
    Data Scientist 2013 (about 1 month)
    Brown University
    Brown University
    Bachelors of Arts 2007 - 2011 (over 3 years)
    Founder
    Allocate.ai
    Employee
    x.ai, Stanford University, Cornell Tech, Brown University, DataKind
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Projects
    Convolutional neural networks performance with label noise
    Final project for a course on convolutional neural networks
    Co-Author · The theory for deep learning is weak. We explore what happens, specifically to performance, when there's label noise.
     
    Education
     
    About
    Achievements

    Strive to be a better programer and know the CS fundamentals better than most "data scientists" while still being an expert in Stats/ML. Split my time at Stanford between grad level Stats courses and the core CS track. Here are some selected fun projects I've worked on:

    Exploring the robustness of convolutional neural networks to label noise:
    http://bit.ly/robustness_of_conv_nets

    An analysis for ESPN of professional tennis players' serves:
    http://bit.ly/going_for_safe_second_serves

    A paper on geolocating tweets using message language:
    http://bit.ly/geolocating_tweets

    Describe the most impressive thing you've done.
    Skills
    Amazon Web Services C++ Consulting Data Analysis Emacs Github Matlab Neural Networks Numpy Python Statistics Unix Machine Learning C Pandas Scala
    Locations
    San Francisco New York City Palo Alto
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