JJ Svenson

Baseball Analytics & Data Science

Fourth-year Statistics and Data Science major at UCLA with a passion for transforming data into actionable insights. Currently serving as Head Student Manager and Data Analyst for UCLA Baseball, with high level experience as a Baseball Analytics Intern for the Yarmouth-Dennis Red Sox of the Cape Cod Baseball League (2025 season).

JJ Svenson professional photo

About Me

As Head Student Manager and Data Analyst for UCLA Baseball, I combine my Statistics and Data Science education with hands-on experience to create analytical tools that drive performance improvement. My work spans all aspects of baseball analytics, from pitcher evaluation and sequencing strategy to offensive analysis and defensive metrics.

During the 2025 season, I served as a Baseball Analytics Intern for the Yarmouth-Dennis Red Sox of the Cape Cod Baseball League, where I developed daily reporting systems used by coaches for in-game decision making. I specialize in translating complex Trackman data into clear, actionable insights through custom R programming and machine learning techniques.

JJ Svenson at UCLA baseball field

Baseball Analytics Projects

A collection of R-based analytical tools designed to evaluate player performance using Trackman data and advanced statistical methods. Each project combines technical expertise with baseball insights to provide actionable intelligence for coaching and player development.

01

Pitch Type Classifier

Machine learning-powered R Shiny application for automated pitch type classification using hierarchical XGBoost models, featuring 4D outlier detection, intelligent arsenal correction, and interactive data cleaning interface.

Machine Learning Application
02

Pitcher Outing Analysis

Comprehensive R-based report analyzing individual pitcher outings, providing detailed performance metrics and visualizations to evaluate game-by-game effectiveness.

Post-Game Report
03

Seasonal Pitcher Performance

Season-long analysis examining pitcher performance trends, including opponent-specific metrics to identify strengths and areas for improvement.

Pitcher Season Analysis
04

Trackman Pitcher Evaluation

Advanced analytics leveraging Trackman data to evaluate pitcher mechanics, pitch characteristics, and overall effectiveness.

Trackman Pitcher Evaluation
05

Pitch Similarity Analysis

Comparative study analyzing NCAA pitches with similar characteristics to target pitchers, providing benchmarking data and performance expectations based on historical outcomes.

Comparative Analytics
06

Pitch Sequencing Effects

Strategic analysis of pitch sequencing patterns using Trackman data to identify optimal pitch combinations and sequencing strategies for maximizing effectiveness.

Sequencing Strategy Analysis
07

Daily Hitting Evaluation

Daily performance reports for team hitters utilizing Trackman data, designed for rapid assessment and immediate feedback to support in-season player development.

Offenseive Performance Tracking
08

Catcher Performance Metrics

Specialized evaluation system for catchers using Trackman data, assessing receiving skills, game-calling effectiveness, and defensive contributions.

Defensive Analytics
09

Hitter Performance Analysis

Comprehensive individual hitter evaluation using Trackman data to analyze swing mechanics, plate discipline, and overall offensive production.

Offensive Analytics

Let's Connect

I'm always eager to discuss baseball analytics, collaborate on projects, or receive feedback on my work. Whether you're a coach, analyst, or fellow baseball enthusiast, I'd love to hear from you.