Currently pursuing a Data Science and Computer Science double major and a Computer Science Masters.
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Hello! My name is Hriday Raj and I am a student-athlete (Football) at Willamette University with experience in AI, Machine Learning, and Data Visualization. I’m passionate about solving problems with technology, whether it's through building recommender systems or visualizing complex datasets.
Willamette University Athletics | May 2024 - Present
Spearheaded defensive strategy analysis using HUDL, collaborating with coaches to align performance metrics with team objectives and effectively communicate actionable strategies to players.
Designed and developed user-friendly visualizations of key performance metrics (e.g., pass pressures, coverages) on a web-based platform to support data-driven decision-making and enhance defensive tactics.
Built and standardized a data pipeline to streamline metric analysis, improve data accuracy, and support ongoing strategy development.
Managed team workflows and resources efficiently, resolving roadblocks and ensuring seamless collaboration to achieve strategic objectives.
Bahwan Cybertek | Jun 2023 - Aug 2023
Lowered operating costs by creating a custom keyword extractor in Python using natural language processing techniques for feedback management systems.
Validated research with F-scores and optimized the keyword extraction algorithm for enhanced accuracy and performance.
Documented research findings, methodologies, and recommendations to facilitate knowledge sharing and future improvements.
Willamette University | May 2024 - Present
Provided academic support to undergraduate students, simplifying complex concepts in statistics, computer science, and data science.
Effectively identified and addressed student challenges to foster understanding.
Authored a comprehensive report analyzing bankruptcy trends, utilizing R to create visualizations that effectively communicate complex financial data.
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A collection of projects demonstrating various recommender system techniques implemented in Python:
Implemented the Apriori algorithm to identify frequent itemsets and generate association rules for market basket analysis.
View CodeDeveloped a Graph Neural Network model to enhance recommendation accuracy by capturing complex user-item interactions.
View CodeExplored the mathematical foundations of Singular Value Decomposition and its application in dimensionality reduction for recommender systems.
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Implemented advanced visualization techniques for generating Buddhabrot fractals (variation of Mandelbrot fractals) in C.
View CodeAug 2022 - Aug 2025
Degrees: M.S. Computer Science | B.S. Computer Science | B.S. Data Science | Minor in Mathematics and Statistics
Activities: NCAA Division III Football, Statistics Teacher’s Assistant, Peer Tutor
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