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Son Le is a seasoned data scientist with expertise in machine learning, financial modeling, and project management. He has worked as a data scientist at Smarter Sorting, lead full-stack developer at Dandy, and research associate at FBR. Son holds a Doctor of Philosophy (Ph.D.) in Economics from Georgetown University and a Bachelor of Arts (BA) in Double Major: Economics, Mathematics, Honors track from the same institution.

Experience

  • Smarter Sorting
    • Washington D.C. Metro Area
    • Data Scientist
      • May 2018 - Present
      • Washington D.C. Metro Area

      Machine learning classifiers using Logistic classifier, Random Forest, Gradient Boosting.Deep learning sequence to sequence models using LSTM framework, TensorFlow, Keras, Amazon Sagemaker.Back-end software engineer using Python Flask, Ruby on Rails.Confidence engine development using statistical modeling.

  • Dandy
    • Hanoi, Thành Phố Hà Nội, Vietnam
    • Head Of Engineering And Data Science
      • May 2018 - Mar 2019
      • Hanoi, Thành Phố Hà Nội, Vietnam

      Lead the full stack development and successful launch of a data-driven pet wellness e-commerce platform. Stack used: Angular, NodeJS, Django, Postgres, Redis, Statistical Analysis

  • Self-Employed
    • Washington D.C. Metro Area
    • Software Engineer
      • May 2014 - May 2018
      • Washington D.C. Metro Area

      Back-end web development using Python Flask, RabbitMQ, Docker, PostgreSQL, AWS, Google Cloud Computing, Ruby on Rails, MongoDB.Front-end web development using React, Angular, Javascript

  • FBR
    • Virginia
    • Research Associate
      • May 2014 - Aug 2014
      • Virginia

      Initiating coverage for ten E&P companies Performing various research functions for REITs companies under coverage

  • Barclays
    • Greater New York City Area
    • Research Analyst
      • Jun 2013 - Aug 2013
      • Greater New York City Area

      Built a model estimating the extension in duration supply results from different sell-off scenarios in interest rates under various assumptions about convexity hedging. Modeled the pull-through rate function for mortgage pipeline using regression analysis to best fit the generalized logistic function. Built a model estimating the hedge ratio for various cohorts of agency MBS for clients and traders Wrote parts of the weekly internal research reports used in traders ‘meeting. Built Excel spreadsheets automatically collecting data on NY Fed Primary Dealers and CPI, generating preliminary research reports based on those data.

  • Georgetown University
    • Washington D.C. Metro Area
    • Research Assistant
      • Sep 2012 - Dec 2012
      • Washington D.C. Metro Area

      Ran regression analysis and Chi-square tests on data sets (with weighting factors) from Pew Research Center, using statistical software STATA, SPSS and MINITAB for professor Fair’s research. Handled large data sets from Global Terrorism Database used for professor Fair’s new book. Created charts and graphs from the database for the research about terrorism in India and Pakistan.

  • IDG Ventures Vietnam
    • Ho Chi Minh City, Vietnam
    • Technology Venture Capital Fund
      • Jun 2012 - Aug 2012
      • Ho Chi Minh City, Vietnam

      Researched information about the 10 biggest companies in the mobile payment market in Vietnam for future venture capital investment. Conducted an analysis of the mobile payment market in Vietnam for future investment purpose.

    • Project Manager
      • May 2012 - Aug 2012
      • Ho Chi Minh City, Vietnam

      Led the development of the 90-page business plan for a new real estate startup company. Served as lead presenter of the business plan to Leopard Capital Cambodia and IDG Ventures Vietnam.

Education

  • 2014 - 2019
    Georgetown University
    Doctor of Philosophy (Ph.D.), Economics
  • 2010 - 2014
    Georgetown University
    Bachelor of Arts (BA), Double Major: Economics, Mathematics, Honors track
  • 2011 - 2011
    University of Melbourne
    Study Abroad, Coursework: Finance, Accounting, Statistics

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