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© 2025 Allan Paiz. All rights reserved.
master
../about.ap
© 2025 Allan Paiz. All rights reserved.
I'm currently a student at theUniversity of South Carolina. Computer Science major, Mathematics minor. United States Marine Corps Veteran. 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. 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
- Created new defensive metrics using NFL tracking data. TuneUP by JETA
- Music application for my software engineering course. Green Dog : NFL Big Data Bowl 2025
- A tool that predicts the assignment of an NFL receiver. Other Work
- Small projects, school work, and other endeavors. // 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: 8/19/2025
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
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
Project 5: NFL Big Data Bowl 2025 Project written in Python
Coming Soon...
Project 6: School Work and Miscellaneous Projects
Coming Soon...
