Jared Lee

Data Science Analyst at A.I. Sports
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Credentials

  • Introduction to Data in R
    DataCamp
    Sep, 2020
    - Sep, 2024
  • Modeling with Data in the Tidyverse
    DataCamp
    Sep, 2020
    - Sep, 2024
  • Multiple and Logistic Regression in R
    DataCamp
    Sep, 2020
    - Sep, 2024
  • Machine Learning
    Coursera
    Jun, 2020
    - Sep, 2024
  • Building Dashboards with flexdashboard
    DataCamp
    May, 2020
    - Sep, 2024
  • Building Dashboards with shinydashboard
    DataCamp
    May, 2020
    - Sep, 2024
  • Case Study: Exploratory Data Analysis in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Categorical Data in the Tidyverse
    DataCamp
    May, 2020
    - Sep, 2024
  • Cluster Analysis in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Communicating with Data in the Tidyverse
    DataCamp
    May, 2020
    - Sep, 2024
  • Correlation and Regression in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Data Analyst with R Track
    DataCamp
    May, 2020
    - Sep, 2024
  • Data Cleaning in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Data Manipulation with data.table in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Data Manipulation with dplyr
    DataCamp
    May, 2020
    - Sep, 2024
  • Data Scientist with R Track
    DataCamp
    May, 2020
    - Sep, 2024
  • Exploratory Data Analysis in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Intermediate Data Visualization with ggplot2
    DataCamp
    May, 2020
    - Sep, 2024
  • Intermediate Importing Data in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Intermediate Interactive Data Visualization with plotly in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Intermediate R
    DataCamp
    May, 2020
    - Sep, 2024
  • Introduction to Data Visualization with ggplot2
    DataCamp
    May, 2020
    - Sep, 2024
  • Introduction to Importing Data in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Introduction to R
    DataCamp
    May, 2020
    - Sep, 2024
  • Introduction to Relational Databases in SQL
    DataCamp
    May, 2020
    - Sep, 2024
  • Introduction to SQL
    DataCamp
    May, 2020
    - Sep, 2024
  • Introduction to Writing Functions in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Introduction to the Tidyverse
    DataCamp
    May, 2020
    - Sep, 2024
  • Joining Data in SQL
    DataCamp
    May, 2020
    - Sep, 2024
  • Joining Data with data.table in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Joining Data with dplyr
    DataCamp
    May, 2020
    - Sep, 2024
  • Supervised Learning in R: Classication
    DataCamp
    May, 2020
    - Sep, 2024
  • Supervised Learning in R: Regression
    DataCamp
    May, 2020
    - Sep, 2024
  • Unsupervised Learning in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Working with Dates and Times in R
    DataCamp
    May, 2020
    - Sep, 2024
  • Modern Robotics, Course 3: Robot Dynamics
    Coursera
    Aug, 2018
    - Sep, 2024
  • Modern Robotics, Course 2: Robot Kinematics
    Coursera
    Jul, 2018
    - Sep, 2024
  • Modern Robotics, Course 1: Foundations of Robot Motion
    Coursera
    Jun, 2018
    - Sep, 2024
  • CSWA
    Dassault Systèmes
    Dec, 2016
    - Sep, 2024

Experience

  • A.I. Sports
    • United States
    • Spectator Sports
    • 1 - 100 Employee
    • Data Science Analyst
      • Jan 2020 - Present

      ◦ Analysis: Tracked and analyzed model execution. Built tools and dashboards for stakeholders to visualize betting model performance. ◦ Risk Management: Optimized betting strategy to maximize profits for clients through backtesting and simulation ◦ Predictive Analytics: Developed algorithms to predict the outcome of NCAA football games. ◦ Automation: Created automated data collection, cleaning, and storage pipelines to work in conjunction with proprietary modeling to streamline our sports betting operations.

  • 36 By Design
    • United States
    • Data Analyst | Tutor
      • Mar 2012 - Present

      ◦ Analysis: Generated reports to identify the program’s strengths and where to focus improvement. Analyzed test data to find patterns and trends that helped improve test scores. ◦ 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. ◦ Test Prep Coach: Directly worked with clients to improve test performance while managing a small team of other tutors. Implemented and improved data collection methods to better track performance.

Education

  • Arizona State University
    Bachelor of Science - BS, Aerospace, Aeronautical and Astronautical Engineering
    2013 - 2018

Community

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