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© 2025 Allan Paiz. All rights reserved.
main
../about.ap
© 2025 Allan Paiz. All rights reserved.
I'm currently a student at theUniversity of South Carolina. Computer Science major, Mathematics minor. Expected graduation December of 2026. I enjoy all sports with (and without) the use of analytics. soccer>(football>=baseball)>(hockey>=basketball)I enjoy playing tournament poker and competitive video games, though I don't get the chance to play as often as I'd like. United States Marine Corps Veteran. When I'm not on a computer... I'm enjoying life with my wife, twin babies, and 2 doggos.
Defensive Stopping Power : NFL Big Data Bowl 2024
- New defensive metrics using NFL tracking data. Wash Your Rice
- Horror themed puzzle game. Dynamical Systems and AI Research Group
- Research in robotics, AI, and dynamical systems. TuneUP by JETA
- Music application for my software engineering course. Predicting Construction Permit Delays
- Math Foundations of ML/DS course project. Green Dog : NFL Big Data Bowl 2025
- A tool that predicts the assignment of an NFL receiver. // This portfolio is meant to resemble a neovim text editor. // It looks great on my PC, but may not on yours... // if that's the case, we're UNDER CONSTRUCTION!
at] gmail [dot] comGithub: https://github.com/allanpaizResume: /resume.pdfUpdated: 8/18/2026
2024 NFL Big Data Bowl competition's tackling theme left me struggling to find a direction for my project.
Several of my ideas were limited by the provided datasets.
first_contact flag in the data was misleading. (See GIF)identify all contact, or potential contact, between ball carriers and defenders.
Links: GitHub Repository Kaggle Submission Finalists: NFL Announcement Kaggle Announcement Summary: Developed a neural network to detect all defender-ball carrier contact in NFL tracking data, addressing limitations in traditional defensive metrics. Technical Skills: Python, Pandas, NumPy, Keras, Matplotlib Personal Skills: data processing, problem solving, data analysis, machine learning, feature engineering, visualization, reporting Features: feed-forward neural network, spatial and velocity data modeling, detailed visualization and analytics Applications: NFL and NCAA player scouting and evaluation, game planning and analysis, in game decision making, Fantasy football and sports betting analytics
Wash Your Rice
Coming Soon...
Dynamical Systems and AI Research Group
Coming Soon...
TuneUp is a prototype music app developed in Java for my Software Engineering course.
Teamwork - Worked in a team of four to complete a project from start to finish.Planning - Engaged with a client to define project requirements and objectives.System Design - Created documentation and UML diagrams to guide development.Development & Testing - Built and tested a Java console app, using GitHub for version control and collaboration. Front End - Designed and developed a GUI with JavaFX, applying UI/UX principles.
Links: GitHub Repository Summary: Developed a music application for teacher-student interaction with composition and free play modes, lessons, and song libraries. Technical Skills: Java, JUnit, JavaFX, git, GitHub, Object-Oriented Programming, documentation Personal Skills: team collaboration, communication, project management, presentation Features: software development life cycle, system design, software engineering, unit testing, front end development
Predicting Construction Permit Delays
Coming Soon...
NFL Big Data Bowl 2025 Project written in Python
Coming Soon...
