Ebenezer Olubayode

About Ebenezer Olubayode

I am passionate about harnessing the transformative power of data and I specialize in unlocking hidden insights to elevate performance across the sports industry. My fascination with data analytics stems from a profound belief in its capability to offer a quantifiable means for evaluating and enhancing performance. With an ambition to innovate in sports through leveraging data-driven strategies, my interests span sports business analytics, player performance analysis, sports trading, and sports digital marketing analytics.Bringing a wealth of experience in data science, my expertise extends through various realms of analytics—from developing advanced Computer Vision and Machine Learning models to constructing Recommender Systems, Time Series Analysis, and Natural Language Processing models. My proficiency in deploying these models, coupled with a solid foundation in Python and back-end web application development using the Django framework, positions me uniquely within the intersection of data science and sports.I pride myself on the ability to break complex technical concepts into clear, actionable insights, facilitating data-driven decision-making in sports business, player performance, sports trading, and health. My background is further complemented by hands-on experience in sports and exercise physiology, underscoring a holistic approach to sports analytics and science.Key Expertise: • Sports and Exercise Physiology • Sports Data Analytics • Machine Learning Development • Deep Learning in Computer Vision and NLP • Sports Analytics and Science • Time Series AnalysisI am looking for opportunities to make significant impacts in sports, driving strategies, insights, and business decisions through the power of data.

Experience

1. Kinatrax Operator

   Hawk-Eye Innovations

   Feb 2026 — Present

   Operate live player-tracking systems to ensure accurate, high-fidelity motion capture data during professional baseball and basketball games and sessions.• Operate KinaTrax markerless motion capture systems during live baseball games to collect high-resolution 3D player movement data for pitching and hitting analysis.• Monitor real-time system indicators and live camera feeds to ensure system readiness, data integrity, and uninterrupted capture throughout games.• Perform live troubleshooting and issue triage during events, escalating when necessary and documenting incidents to prevent downstream data loss.• Verify player labeling, event timing, and session metadata during and after games to support accurate post-game data validation.• Complete post-game workflows including metadata review, quality checks, and structured reporting to enable reliable downstream processing.• Maintain clear, timely communication with internal operations, scheduling, and support teams using Slack and internal tools.• Support a remote, live operations environment, requiring sustained focus, attention to detail, and adherence to standardized workflows.• Contribute to data pipelines used for player performance analysis, biomechanics research, injury prevention, and strategic decision-making.

Education

• University of Ibadan

  Bachelor's degree, Exercise Physiology

  2016 — 2020

• University of Oklahoma

  Master's degree, Sports Data Analytics

• Udacity

  AWS Machine Learning

• ROBOTICS & ARTIFICIAL INTELLIGENCE NIGERIA (RAIN)

  Professional Certificate, Artificial intelligence and Machine learning

  2020 — 2021