Jason Lee

Founder, Chief Data Scientist at A.I. Sports
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us****@****om
(386) 825-5501

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Mark W Stromberg

I’ve known Jason for most of his life. He is reliable, loyal, intelligent and very personable. Jason is both a people person as well as someone that pays great attention to detail. He has a very keen ability to reason and drill down on problems that require strong analytical skills. Anyone that hires Jason will have added a strong contributor to their team.

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Credentials

  • Building Dashboards with flexdashboard
    DataCamp
    May, 2020
    - Nov, 2024
  • Art and Science of Machine Learning
    Coursera
    Jul, 2018
    - Nov, 2024
  • Feature Engineering
    Coursera
    Jul, 2018
    - Nov, 2024
  • How Google does Machine Learning
    Coursera
    Jul, 2018
    - Nov, 2024
  • Intro to TensorFlow
    Coursera
    Jul, 2018
    - Nov, 2024
  • Launching into Machine Learning
    Coursera
    Jul, 2018
    - Nov, 2024
  • Machine Learning with TensorFlow on Google Cloud Platform Specialization
    Coursera
    Jul, 2018
    - Nov, 2024
  • SQL for Data Science
    Coursera
    Jun, 2018
    - Nov, 2024
  • Machine Learning
    Coursera
    Apr, 2016
    - Nov, 2024

Experience

  • A.I. Sports
    • United States
    • Spectator Sports
    • 1 - 100 Employee
    • Founder, Chief Data Scientist
      • Aug 2018 - Present

      Sports enthusiast and Machine Learning advocate. Build, evaluate, and deploy various algorithms to make the most accurate predictions possible giving us an edge in the sports investment market. Leadership - Recruited, organized, and lead a diverse team with a common goal. ML Engineering - Built predictive betting models for NFL, NCAAF, NBA, NCAAB, and NHL. Automation - Created automated data collection, cleaning, and storage pipelines to work in conjunction with proprietary modeling to streamline our sports betting operations.

  • Freedom Financial Network
    • United States
    • Financial Services
    • 500 - 600 Employee
    • Sr. Data Scientist, Data & Strategy
      • Sep 2018 - Sep 2020

      ML Engineering: Trained and maintained lead scoring and agent scoring algorithms to prioritize incoming leads and ensuring the optimal sales representative was paired with each lead. Collection Strategy: Built Markov Chain Monte Carlo simulation to determine which action most improves our likelihood of recouping delinquent payments to decrease risk in our loan portfolio. Text Mining: Built web scrapers to collect and analyze online company/competitor reviews providing valuable insights to guide the training of sales reps.

  • Insight
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Marketing Data Scientist
      • May 2017 - Sep 2018

      ML Engineering: Created clustering, segmentation, and propensity-to-buy models with machine learning algorithms to target clients with messages tailored to their specific needs. Consult: Subject matter expert for marketing campaigns providing senior leaders with the information required to make appropriate business decisions. Data Mining: Leveraged data from various tools to provide a deep analysis of our marketing efforts to dictate future initiatives. Dashboards: Developed dynamic dashboards connecting disparate data sources in a single place for senior and executive teams to easily track KPIs.

  • 36 By Design
    • Sr. Business Analyst
      • Jan 2012 - May 2017

      ◦ Predictive Analytics: Achieved industry standard score improvements in 1/3 industry average time through relevant data utilization and applied statistics - simulation, segmentation, regression, and classification models ◦ Text Mining: Data mined over 10 years of ACT/SAT test questions and answers performing sentiment analysis and other NLP methods finding several trends that helped shape our curriculum. ◦ Database Systems: Designed, programmed, and deployed relational database to track thousands of data points per student to supplement human instruction and improve scores. Automated KPI reporting and provided ad-hoc reports to access current standings.

  • Landmark Management Group
    • Bountiful, Utah
    • Jr. Financial analyst
      • Aug 2008 - Jan 2012

      Assessed risk/reward for investments. Research: Researched specific stocks along with market and macroeconomic conditions to determine value. Forecast: Developed models that account for diverse variables to project individual company’s stock prices. Tracked portfolio to determine optimal time to buy and sell. Advise: Presented concise reports to upper management. Recommended buy or sell, long or short positions based on the metrics and current market conditions. Assessed risk/reward for investments. Research: Researched specific stocks along with market and macroeconomic conditions to determine value. Forecast: Developed models that account for diverse variables to project individual company’s stock prices. Tracked portfolio to determine optimal time to buy and sell. Advise: Presented concise reports to upper management. Recommended buy or sell, long or short positions based on the metrics and current market conditions.

Education

  • Northwestern University
    M.S. Data Science
    2018 - 2019
  • University of Utah
    Bachelor of Science (B.S.), Economics
    2008 - 2012

Community

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