An authenticated match-viewing dashboard built by Bruin Sports Analytics for UCLA Tennis, organizing match video, rosters, opponents, singles and doubles lines, and tagged-match review in one coaching-facing tool.
A rating system to rank quarterbacks based on their actual versus predicted EPA in clutch situations, utilizing features related to the QB's pocket.
A pass-rusher gravity metric that measures observed blocker attention during true pass sets, models expected attention from Big Data Bowl tracking features, and ranks defenders by the extra attention they command.
A predictive modeling framework for forecasting season-average NBA player statistics using gradient boosting, allowing fantasy projections under any custom scoring system.
Foundational research code and exploratory data analysis notebooks focusing on college and professional basketball efficiency metrics.
A 2016-2019 MLB shift analysis that models team-level shift usage, builds a shift effectiveness metric, and compares hitter outcomes with and without shifts using regression, random forests, and significance tests.
A salary-efficiency roster builder that ranks 2015-16 NBA players by position, performance, and cost, then creates an example low-cost lineup and shot-chart comparisons against elite teams.
An advanced volleyball analytics pipeline and R Shiny dashboard built with UCLA Athletics, turning DataVolley scouting files into custom reception, offense, serving, blocking, and clutch-performance metrics.
A probability model and React prototype for evaluating NBA game states, player prop probabilities, and parlay arbitrage against sportsbook pricing.
An intelligent Retrieval-Augmented Generation (RAG) chatbot for UCLA Women's Basketball statistics and analytics, powered by Anthropic Claude 3.5 Sonnet, Flask, and ChromaDB.
An analytical report examining NFL Players Association salary distribution, contract guarantee structures, and position-by-position valuation metrics.
A model of All-NBA selection using 10 seasons of NBA.com and Basketball-Reference data, testing variable-selection methods and logistic regression to identify the box-score and advanced stats most tied to All-NBA voting.
An exploratory study of 2011-12 NBA playoff teams that compares Eastern and Western contenders, team touches, roster composition, and predictors of player rank.
An integrated R Shiny analytics suite and pitch-plotting dashboard connected directly to UCLA Baseball's Google BigQuery TrackMan database for pitch shape, movement profiles, release geometry, and batted-ball metrics.
A full-stack interactive web application with a React frontend, Flask API, and an ONNX-deployed MLP neural network to model real-time NBA win probability and simulate hypothetical game-state edits.
An interactive five-tab dashboard built for UCLA Women's Basketball that maps transfer portal movement, compares first-year transfer vs. freshman on-court impact, and tracks career development across 8,300 freshman seasons and 1,354 transfer arrivals in Power 5 programs.
A tracking-data framework for evaluating wide receiver and skill-player downfield blocking, combining defender angles, speed, ball geometry, and blocker-defender movement into a Blocking Effectiveness Score.
A computer-vision tagging system for UCLA Tennis match video that automatically tracks court geometry, player movement, and rally context to support downstream match statistics and reports.
A PER ranking study that tests how touches, position, scoring, assists, and other player statistics explain PER rank across the 2013-14 through 2015-16 NBA seasons.
A specialized pitching diagnostic application that calculates advanced sabermetric metrics, quality-of-contact distributions (xwOBAcon, HardHit%), CSW% (Called Strike + Whiff Rate), and count-by-count split performance.
A 2017-2026 women's basketball recruiting study that evaluates ESPN SC Next 100 recruits by freshman usage, minutes, conference and position distribution, Big Ten context, and transfer timing.
A transfer-learning tennis playstyle classifier that turns point-by-point match charting into player archetype scores, using professional data to label styles and UCLA match data to generate radar-plot profiles.
A statistical framework for predicting All-NBA Defensive Teams and Defensive Player of the Year by modeling possession-level matchup data rather than media narrative or box-score totals.
A survey-driven Roundnet viewability study that scores gameplay clips for excitement and understandability, then uses tests and regression to identify which point-level traits make the sport more entertaining to watch.
A playoff-seeding study showing that NBA conference alignment excluded deserving teams in 12 of 15 seasons, then comparing wildcard, conference-free, and tennis-style bracket alternatives.
