About Me

Background

Hi, I’m Taylor! I’m a Computer Science student at Brigham Young University on the Data Science and Machine Learning track. I’ve always been fascinated by the patterns hidden in data and the way analytics can be used to solve complex problems. My journey started with a love for sports analytics—especially basketball—but has grown into exploring broader applications like finance, healthcare, and time series forecasting.

Beyond sports data, I’ve applied my skills to projects ranging from predicting sales data for businesses to experimenting with AI in games like Othello. I’m also exploring opportunities in research, including cancer data analysis with Huntsman Cancer Institute and data quality work with FamilySearch. These experiences have taught me how versatile data science is and how it can make a real impact.

Education

  • Computer Science ML/DS, Mathematics - Brigham Young University, 2026
  • Relevant Coursework: Computational Linear Algebra, Advanced Software Construction, Database Modeling Concepts, Mathematics of Data Science, Deep Learning, Data Science Process, Data Science Capstone

Skills & Interests

Technical Skills

  • Programming Languages: Python, C++, SQL, Java, JavaScript, PHP, HTML/CSS
  • Libraries & Frameworks: Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, BeautifulSoup, Scrapy, Flask, Node.js
  • Visualization: Matplotlib, Seaborn, Plotly
  • Databases: Microsoft SQL Server, MySQL, Oracle Database, Amazon RDS
  • Tools: Git, Jupyter Notebooks, Postman, Jira

Areas of Interest

  • Sports analytics (with a focus on basketball), find me on Matchup-Madness.com
  • Time series forecasting (sales, pricing, demand)
  • Applied machine learning for finance and healthcare
  • Exploring patterns in data that inform decisions and improve lives

Goals

In the short term, I’m focused on strengthening my expertise in machine learning, deep learning, and cloud-based data systems while applying those skills to impactful projects and research.

In the long term, I aspire to work as a data scientist in tech, finance, or healthcare—or in the sports analytics space where my passion for data and athletics intersect. I’m also drawn to applied ML research and could see myself contributing to the development of new methods and tools for solving real-world problems.

Contact

This portfolio showcases my learning progress and projects completed during my data science studies.