Industry
Resume
Economics and mathematics student who turns large, messy datasets into models and clear recommendations.
What I Bring
Modeling
Models from first principles
Structural and econometric models, from mean field games and regression to difference-in-differences and probability forecasting.
Data
Large, real-world data
Cleaning and combining nearly one million Census LODES records, BLS QCEW data, and multi-country PISA microdata in Python, R, and SQL.
Communication
Results people can act on
Translating findings for faculty committees, conference audiences, school founders, and competition judges.
Selected Projects
Case competition · 24 hours
Forecasting a horse race
ProblemDo GPS trackers or traditional timing measure races more accurately, and who wins next?
ApproachAs the team’s sole analyst, cleaned race-level data and built a probability model of finishing order.
ResultGPS won on intervals, traditional timing on finishing times, and the model identified a winning parlay.
Working paper
Pricing anticipation
ProblemHow much do workers relocate before a major employer opens, and what happens when it’s delayed?
ApproachSpatial mean field game calibrated to 969,829 Census LODES worker residences plus BLS QCEW data.
ResultAbout 47% of adjustment happens before the expected opening; delays trigger a partial reversal.
Honors thesis
Does technology raise achievement?
ProblemWhich kinds of student technology use relate to better test scores across countries?
ApproachCross-country PISA 2018 regressions with marginal effects, VIF diagnostics, and robustness checks.
ResultHome technology is the strongest predictor, with socioeconomic status explaining much of the link.
Experience
Sept 2026 – Present
Private Tutor, Intermediate Macroeconomics
- Recommended by faculty to tutor students in intermediate macroeconomics.
- Clarify model specifications, assumptions, and how variables connect across models.
- Improved the first student’s quiz grades by 200% after two hours of tutoring.
Apr 2026
Data Analyst, The 2026 EconGames
- Sole data analyst on an eight-member team competing against 30 university teams.
- Independently cleaned and analyzed race-level data to compare traditional horse-racing timing with GPS-based tracking.
- Showed GPS tracking better captured intervals between horses, while traditional timing gave more accurate finishing times.
- Built a probability model of finishing order for an upcoming race and used it to identify a winning parlay.
2026 – Present
Independent Researcher
- Develop a continuous-time spatial mean field game with coupled HJB–KFE equations to study anticipatory migration following Intel’s announced Ohio semiconductor investment.
- Calibrate an exact discrete inverse equilibrium to 969,829 Census LODES worker residences, incorporating BLS QCEW data and publicly announced project employment and pay.
- Estimate that roughly 46.7% of eventual model-implied spatial adjustment occurs before the initially expected opening; model later information revisions to quantify partial reversal after project delays.
- Extend the model to two-dimensional geography with extensive numerical and structural robustness analysis; 2D geography reduces predicted reallocation by about 16% while leaving the timing result nearly unchanged.
- Presented at the Kentucky Economic Association Annual Conference, October 2026.
Jan 2026 – May 2026
Honors Thesis Researcher
- Investigated how educational technology use-cases affect achievement in mathematics, reading, and science using the 2018 PISA dataset.
- Built a cross-country PISA sample accounting for differences across assessment booklets; estimated multivariate regression models and marginal effects with external controls.
- Ran variance inflation factor diagnostics and additional robustness checks.
- Found home technology to be the strongest statistically significant technology-related predictor of achievement, with socioeconomic status explaining a substantial share of the relationship.
- Defended before a three-member faculty committee; presented at the Kentucky Economic Association Annual Conference, October 2026.
Education
Expected May 2027
University of Louisville
- Cumulative GPA: 3.51 / 4.00 · Economics GPA: 3.88 / 4.00
- Relevant coursework: Econometrics, Real Analysis, Linear Algebra, Probability, Economics Thesis
Leadership & Recognition
Aug 2025 – May 2026
President’s Council Mentoring Program
One of 40 top-performing sophomores and juniors selected university-wide for an executive mentorship program. Shadowed two neurosurgeons in monthly clinical and surgical observations, discussing medical economics, hospital operations, and U.S. healthcare system dynamics.
Aug 2025 – Present
Center for Free Enterprise Scholarship
Selected for multiple semesters of study in economics, political economy, and entrepreneurship, including meetings with economists, NBER staff, nonprofit organizations, and faculty from other universities.
June 2026
University of South Carolina Summer Seminar
Selected by faculty recommendation for a 15-member seminar of mostly graduate students and practitioners. Read The Odyssey in Ancient Greek alongside classical texts on logic and rhetoric, and advised classical academy founders on curriculum, classroom structure, and technology policy using thesis findings.
Aug 2025 – May 2026
Volunteer, PEACC Center
Led student outreach at orientation and campus events on prevention and support resources, and prepared materials for outreach activities.
Skills