Chin-yu Wu

Chin-yu Wu

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Graduate Student at IUPUI
Philadelphia, Pennsylvania, United States
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Résumé

Jobs verified_user 0% verified
  • Indianapolis colts
    Operation Analyst Intern
    Indianapolis colts
    Oct 2024 - Current (1 year 10 months)
    • Designed and maintained automated ETL pipelines using SQL and Snowflake to extract, clean, and transform ticketing and customer data for operational reporting and strategic planning • Developed interactive Power BI dashboards to monitor sales performance, customer engagement, and retention trends, enabling department heads to make data-driven decisions • Applied Python-based statistical modeling to forecast game attendance, detect high-volume broker activity, and support dynamic pricing strategies—directly contributing to a 3% YoY increase in season ticket renewals
  • I
    Data Analyst
    IUPUI Women's Softball Team
    Sep 2023 - Sep 2024 (1 year 1 month)
    • Employed Python web scraping techniques to compile advanced statistical data for the Horizon League's softball team, including batted ball locations • Utilized the collected data to create a comprehensive batter's heat map for 2024 IUPUI opponents, facilitating strategic insights and game planning. This contributed to a 4.5% increase in batting average compared to the previous season • Improved the functionality of the transfer portal by introducing a dedicated position column for each player, streamlining the recruitment process and enhancing user experience
  • Sports Info Solutions
    Baseball Video Scout
    Sports Info Solutions
    Feb 2023 - Jun 2023 (5 months)
    • Designed/Developed/Created data for 400 professional and amateur sporting games using company-specialized computer software to chart and score athlete performance • Managed the data validation process for statistical data and delivered accurate datasets to clients for further analysis • Assisted with the production of the
Education verified_user 0% verified
  • Indiana University
    Master of Science
    Indiana University
  • Temple University
    Bachelor of Science in
    Temple University
Projects (professional or personal) verified_user 0% verified
  • U
    Understanding the Strike Zone: A Deep Learning Approach to Pitch Prediction
    Jan 2024 - Apr 2024 (4 months)
    • Developed CNN and FFNN models in Python to predict pitch calls, pitch types, and pitch locations, comparing model accuracies to determine the most effective predictor • Integrated the most accurate model into the ABS (automatic ball-strike system) system, enhancing its precision and improving the success rate of coach's challenges
  • N
    NCAA Basketball Win Percentage Prediction
    • Utilized API to extract ~1 million rows of NCAA basketball play-by-play data and performed preprocessing and feature engineering • Developed a GLM and Neural Network in Python to calculate the win percentage of the home team and likelihood of the game entering close-game situations based on point differential at a specific time