Hello, I'm Zachary.
I'm a Software Engineer focused on sports analytics
About Me
I’m Zachary Wu, a student at the University of Washington studying Applied Mathematics and Informatics. My work centers on building end-to-end data products for sports teams, from the underlying predictive models to the production web tools.
I specialize in the intersection of sports analytics, machine learning, and full-stack software engineering. My background spans developing internal scouting and tracking tools for the Washington Nationals, engineering TrackMan pipelines and Machine Learning models for UW Baseball, and building scalable full-stack applications with React, Node.js, Ruby on Rails, and SQL.
Combining a double major in Applied Math and Informatics with leadership experience as a UW Computer Science Teaching Assistant, I pair mathematical modeling (Python, R, XGBoost) with full-stack execution (JavaScript, React, Rails, SQL) to create intuitive solutions for modern front offices and athletic programs.
Technical Skills
JavaPythonRSQLHTMLCSSJSNode.jsScikit-learnJUnitPandasNumPyGitPandasNumPyMatplotlibggplot2
Featured Projects
UW Hitters Dashboard
This full-stack web application analyzes player hitting statistics. The frontend features interactive 3D visualizations of batted balls, and the ability for users to filter pitches by a wide variety of metrics. The backend serves data from a SQLite database via a RESTful API, enabling users to filter pitches, view detailed player statistics, compare players, and export data. This project provides a comprehensive platform for coaches and players to gain deep insights from hitting data.
ReactHTMLCSSNode.js
SportsXcel - Full Stack Ecommerce Website
Developed an e-commerce website with JavaScript, HTML, and CSS, providing a responsive, user-friendly interface for an online shopping experience. Built and integrated a Node.js backend to handle API requests, enabling efficient data flow between client and server.
JavaScriptHTMLCSSSQLNode.js
Multifaceted Analysis of NBA Data using R and Social Network Analysis
Used R to clean, manipulate, and analyze NBA datasets, generating insights through visualizations and comparisons. Conducted Social Network Analysis in Gephi on player relationships and game flow, using network graphs to detect key playmakers and hidden team dynamics.
RPythonGephiData Visualization
HuffmanCode
Designed and implemented a Huffman coding algorithm to efficiently compress data, demonstrating abilities in data structures and algorithms. Optimized data compression processes by developing custom implementations of the Huffman coding technique, resulting in a 30-70% decrease in file size.
JavaData StructuresAlgorithms
Experience
Washington Nationals
Software Engineer
- Engineered full-stack web applications for the Baseball Systems department using Ruby on Rails and Vue.js, centralizing player acquisition and trade tracking for the front office.
- Developed responsive frontend interfaces with Tailwind CSS and JavaScript to visualize complex hitter mechanics, empowering the scouting department to evaluate player swing profiles more efficiently.
- Deployed new scouting and tracking features by partnering directly with baseball operations to gather technical requirements, delivering intuitive internal tools that support organization-wide evaluation workflows.
Vue.jsRubyRailsTailwind.cssPython
University of Washington
UW Baseball Data Analyst
- Engineer ETL pipelines using Python and SQL to ingest and clean thousands of ball-tracking data points from Trackman.
- Develop a machine learning Stuff+ model using XGBoost and scikit-learn, conducting feature engineering across pitch-level metrics (velocity, release point, spin, movement profiles) to evaluate player performance independent of outcome.
- Architect full-stack interactive web dashboards and automated post-game reports using React, Node.js, and Tailwind CSS to translate complex spatial metrics into intuitive coach-facing tools
RPythonSQLData AnalysisData VisualizationSports Analytics
University of Washington Computer Science
Teaching Assistant - Java
- Teach students Java and coding fundamentals in UW's CSE 12X series through lectures, office hours and discussions.
- Design, grade, and provide feedback on programming assignments, projects, and exams.
- Support about 500 students and grade about 200 assignments/tests per quarter.
JavaTeachingWeb DevelopmentCourse Management
Domecile
Product Management Intern
- Conducted market and partner research and built out automated forms functionality.
- Partnered with product and data teams to support and ensure seamless implementation of form functionality.
- Built and pathed 60% of all questionnaires and application forms to streamline application process.
Product ManagementHTMLResearchCross-functional Collaboration
University of Washington - Svoboda Diaries Project
Web Development Intern
- Contributed to the analysis of 19th-century Middle Eastern diaries through social network analysis, topic modeling and distant reading.
- Utilized Node.js, JavaScript, HTML, and CSS to improve website performance and user experience.
- Extended the Rivermap site, adding functionality and increasing user accessibility.
PythonNode.jsJavaScriptHTMLCSSSocial Network Analysis
Lavner Education
Instructor
- Taught coding languages including Python and Java, with a focus on introductory machine learning, data structures and algorithms.
- Led classes of 10 students aged 8-15 through a variety of activities, lessons and discussions.
- Equipped over 100 students with foundational programming skills for continued learning.
PythonJavaTeachingMachine LearningData StructuresAlgorithms
Education
University of Washington
Bachelor of Science in Informatics
GPA: 3.93/4.0. Double major with ACMS. Data Science track
Information SciencesData ScienceProduct ManagementResearch
University of Washington
Bachelor of Science in Applied and Computational Mathematical Sciences
GPA: 3.93/4.0. Double major with Informatics. Specialization in Data Science and Statistics.
Mathematical SciencesData ScienceStatisticsComputational Methods
Roosevelt High School
High School Diploma
GPA: 3.99/4.0 (4.375 weighted). SAT Score: 1530 (760 EVBRW, 770 Math).
Academic ExcellenceMathematicsSciencesLeadership