Paul T.

About Paul T.

As a Master of Science in Business Analytics student at the University of Notre Dame with a focus on Sports Analytics, I am passionate about leveraging data to solve complex problems and drive strategic decision-making. With a background in Finance from The University of Texas at San Antonio (UTSA) and hands-on experience in data analysis, predictive modeling, and machine learning, I’m dedicated to using data to uncover insights and deliver actionable solutions. I have developed a strong foundation in data science tools and techniques, including R, Python, SQL, and Tableau. I’ve applied these skills in both business and sports contexts, creating models to predict outcomes, identify trends, and improve performance. For example, I built a Machine Learning model in R to predict college football outcomes using SP+ rankings and ELO ratings, and XGBoost to forecast NFL player performance. I also have experience in querying and cleaning large datasets using SQL to ensure the data is structured for analysis and decision-making. In addition to technical skills, I bring strong problem-solving abilities and a passion for transforming raw data into meaningful insights that can guide business strategy. My role as Vice President at Elite Products & Logistics has honed my skills in financial analysis, strategic planning, and team leadership. I led initiatives that involved analyzing financial performance, optimizing business operations, and identifying investment opportunities through data-driven decision-making. This experience has given me a unique perspective on how data can improve both business performance and operational efficiency. I am particularly interested in applying my skills to the field of sports analytics, as I’ve developed a passion for using data to improve performance and strategy in athletics. I have worked on projects related to football, including building models to analyze game outcomes and team strategies, which aligns with my goal of contributing to sports organizations, teams, or sports tech companies. As I continue to grow in my data science journey, I aim to combine my technical expertise, problem-solving skills, and passion for sports to drive data-driven solutions. I’m excited to bring my analytical skills and sports analytics experience to help organizations make smarter, data-backed decisions that drive success. Feel free to connect if you\'d like to discuss how I can contribute to your organization\'s data-driven initiatives or collaborate on analytics projects!

Experience

1. Pricing Analyst

   Ticketkings

   Jul 2025 — Present · San Antonio, TX, US

   Develop and execute dynamic ticket pricing strategies using real-time market data and competitor analysis to maximize revenue and inventory efficiency.• Monitor and analyze market trends across major sports, concerts, and live events to identify pricing opportunities and optimize performance.• Utilize tools such as Seat Data, Lysted, and Excel to track event performance, evaluate market conditions, and adjust pricing accordingly.• Collaborate with a fast-paced, data-driven team to refine pricing models and improve predictive decision-making.• Contribute to a tech-driven ticket brokerage focused on efficiency, scalability, and data-informed growth in the secondary ticket market.

Education

• University of Notre Dame - Mendoza College of Business

  Master of Science - MS

  2024 — 2025

• St. Mary's University

  Dual Credit Courses

  2017 — 2019

• The University of Texas at San Antonio

  Bachelor of Business Administration - BBA

  2022 — 2024

• Texas A&M University

  General Business

  2019 — 2020

• Antonian College Preparatory High School

  High School Diploma

  2015 — 2019

• University of Notre Dame

  Master of Science - MS

  2024 — 2025