Ángel Monje Casas

Research: Ensemble Machine Learning for Soccer Match Outcome Prediction at Mercer University
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Contact Information
us****@****om
(386) 825-5501
Location
Macon, Georgia, United States, GE
Languages
  • Spanish Native or bilingual proficiency
  • English Native or bilingual proficiency
  • Chinese (Simplified) Limited working proficiency

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Credentials

  • Data Science & Machine Learning Certificate
    Massachusetts Institute of Technology
    Aug, 2023
    - Oct, 2024
  • Soccer Coaching License Level 1
    Academia Nacional de Entrenadores de Fútbol (National Academy of Soccer Coaches)
    Mar, 2021
    - Oct, 2024
  • Intermediate Chinese Certificate Lvl3
    Hanyu Shuiping Kaoshi
    May, 2018
    - Oct, 2024

Experience

  • Mercer University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Research: Ensemble Machine Learning for Soccer Match Outcome Prediction
      • May 2022 - Present

      - Built a Python web scraper to gather data from 10 global leagues, resulting in a dataset of over 60,000 matches. Conducted exploratory analysis and feature engineering. - Designed a Super Learner ensemble model in R, employing algorithms such as gradient-boosted trees, random forests, and neural networks for accurate match outcome predictions. - Tested the model's accuracy and optimized performance through various simulations with historical and current data. - Presented the research findings, focusing on advanced feature engineering and validation techniques, at Mercer University's Bear Day in May 2023. Show less

  • Stats Perform
    • United Kingdom
    • Spectator Sports
    • 700 & Above Employee
    • Data Scout
      • Feb 2022 - Present

      - Generate real-time match data for Atlanta United and other premier Atlanta-based teams, ensuring precise and timely insights. - Represent and function from the official media press box during home matches, strengthening the company's on-field presence. - Collaborate with team members and superiors during live games, enhancing time-critical decision-making processes. - Ensure top-notch and granular fast-data delivery using the specialized Runningball software. - Generate real-time match data for Atlanta United and other premier Atlanta-based teams, ensuring precise and timely insights. - Represent and function from the official media press box during home matches, strengthening the company's on-field presence. - Collaborate with team members and superiors during live games, enhancing time-critical decision-making processes. - Ensure top-notch and granular fast-data delivery using the specialized Runningball software.

  • United Soccer League (USL)
    • United States
    • Spectator Sports
    • 100 - 200 Employee
    • Club Services Intern
      • Aug 2022 - Dec 2022

      - Built price optimization models in Tableau to maximize ticket revenue for the 2022 Finals, resulting in the largest club gate revenue in - USL history. - Performed exploratory data analysis on ticket sales, pricing, and fan demographics data to uncover trends and opportunities to improve - club revenues. - Developed Tableau dashboards visualizing ticket sales analytics for league executives, enabling data-driven pricing and promotions - decision-making. - Provided data-driven insights that led to new fan recruitment strategies, increasing club gate revenue by 15% year-over-year. -Assisted with database management and extraction using R-Studio and Microsoft Excel to prepare data for analysis. Show less

Education

  • Mercer University
    Bachelor of Business Administration - BBA, Finance
    2020 - 2024

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