Chicago, IL • Reed College '23, Mathematics & Statistics
After graduating from Reed College with a degree in Mathematics and Statistics, I made a deliberate choice: before building tools for learners, I wanted to understand them. 700+ tutoring sessions later, I have a clear picture of where and why people get stuck in math. Most students do not have a broad math problem; they have a gap in a specific foundational concept that was never caught, and once that gap is identified, progress is measurable and fast.
Current focus: an IBEW aptitude test prep platform. The core feature is a free diagnostic test that tells candidates exactly where they stand, what to study, and what timeline to expect before they are ready. The platform is built on pattern-recognition developed across tutoring sessions, with an analytics-heavy backend that translates raw performance data into actionable, personalized study guidance.
Technical toolkit: R, Python, SQL, statistical modeling, experimentation design, and A/B testing.
Outside of that, I spend my time powerlifting, following automotive design, and checking out cool places around Chicago for a chill work session. I started chicagoworkspots.com to collect work-friendly spots, initially for me and my partner. One simple but important feature is a power outlet rating based on the often-overlooked seat-to-outlet ratio. Feel free to check it out and add your own suggestions!
Started with a summer 2023 internship at Yuno Learning and continued with intermittent freelance analytics work through 2024 and 2025. Focused on student-learning data, experiment analysis, reporting, and decision support.
Delivered 700+ tutoring sessions across K-12 through college-level math and statistics at Pear Deck Tutor. Currently coach 7 students weekly, with emphasis on fundamentals, problem-solving structure, and measurable progress.
Conducted applied statistical analysis on higher-education outcomes data, including work that identified a significant discrepancy in public earnings estimates and supported institutional reporting discussions.
Building a free diagnostic tool for electrical trades apprenticeship candidates. Students complete a practice test and receive a breakdown of their math strengths and gaps, a prioritized study plan, and a realistic timeline to exam readiness. The backend is analytics-heavy: raw performance data is processed to generate specific, actionable guidance rather than generic feedback.
Modeled Oregon school proficiency outcomes using ESSA data and machine-learning methods to identify key educational and socioeconomic drivers.
Designed a relational PostgreSQL schema for a trading-card domain, with focus on normalized structure, queryability, and extendable gameplay entities.
Built experiment-analysis workflows for conversion-focused decisions, including statistical testing, confidence intervals, and multiple-comparison controls.
Built and maintain a worksheet platform for math practice and learning support.