Paul Butler


    • Two Sigma

    • New York, NY
    • October 2016present
    • Quantitative Analyst
    • I work with fundamentals-related data to create stock forecasts.
    • Google

    • New York, NY
    • October 2014October 2016
    • Software Engineer
    • Developed features for Search based on the Knowledge Graph, and the infrastructure that supports them.
    • Chango

    • Toronto, ON
    • July 2013July 2014
    • Data Scientist
    • Built tools for detecting botnets and ad fraud hidden in terabytes of real-time ad market data.
    • Bit Aesthetics

    • Toronto, ON
    • November 2012July 2013
    • Data Hacker
    • Consulted on data projects under the name Bit Aesthetics. Built things so cool I wish I could talk about them.

    • New York City, NY
    • August 2011November 2012
    • Data Scientist and Product Developer
    • Built and maintained a system to automatically optimize bids in ad placement auctions. Began as an intern and continued part-time remotely.
    • Facebook

    • Palo Alto, CA
    • September 2010December 2010
    • Software Engineering Intern
    • Worked on internal data infrastructure projects as well as open-source projects in the Hadoop family. Worked on self-initiated visualization projects, including “Visualizing Facebook Friends”


    • I use my combined background in data science and software engineering to build systems that deal with massive amounts of data.


      • Python including the PyData stack: scikit-learn, Pandas, numpy, etc.
      • C++
      • Java including the Hadoop family.


    • Stanford University

    • September 2013December 2014
    • SCPD (off-campus)
    • Mining Massive Data Sets Certificate


    • Kontagent Big Data Challenge

    • September 2012
    • Won a $10k cash prize for creating an interactive HTML5 visualization of Toronto transit schedule data.

Selected Work

    • Visualizing Facebook Friends

    • December 2010
    • Created a visualization of a sample of ten million friend pairs to construct a world map. Published by Facebook and featured by the BBC and The Economist.

Open Source