Computer Science Student | Data Science & ML Intern

Computer Science student pursuing opportunities in data science and machine learning. Experience building neural network models, performing data cleaning and feature engineering, and developing predictive systems using Python and machine learning frameworks. Interested in using data-driven methods to improve decision-making and system performance.

• Languages: Python, SQL, C#, HTML, JavaScript, Bash, Elixir
• Libraries/Frameworks: Pandas, NumPy, Scikit-Learn, Matplotlib, Flask
• Areas: Machine Learning, Data Analysis, Data Cleaning, Feature Engineering, Database Design
• Tools: Unix/Linux command-line tools, MySQL, Git

Performed data cleaning and feature engineering (cyclical time encoding, weather features) to improve model prediction accuracy by over 50%. Tuned hyperparameters including hidden layer size, activation functions, and dropout regularization to improve model generalization.

Developed a C# console-based pickleball training application using object-oriented programming, modeling entities such as Player, Game, Drill, and Shot. Built an interactive CLI workflow that allows users to create players, log matches, run drills, and view performance statistics.

Developed a web-based task management application using Python and Flask with a relational database backend in MySQL. Implemented user authentication and session management, enabling secure login and individualized task lists.

Owner – FreshPane Solutions LLC | Provo, UT Founded and operated a window cleaning company generating over $70,000 in yearly revenue. Tracked job performance metrics and analyzed trends to optimize pricing and resource allocation.

B.S. in Computer Science – Brigham Young University Idaho (Expected April 2027)
Computer Programming Certificate – Brigham Young University Idaho (January 2026)
Relevant Coursework: Database Programming, Machine Learning, Patterns and Data Structures