Strong Analytical Experience

Experience working with large datasets to build statistical models, uncover relationships, and deliver actionable insights. Skilled in econometric analysis, quantitative methods, and spatial data integration using R and ArcGIS Pro. Analytical work emphasizes precision, reproducibility, and practical application to finance, strategy, and economic decision-making.

Rigorous Coursework

Coursework includes Econometrics, Economic Analysis of Data, Economics of Competitive Strategy, International Trade Economics, Intermediate Microeconomics, Intermediate Macroeconomics, Statistics, and Calculus—emphasizing analytical reasoning, quantitative modeling, and applied economic theory.

Wide Range of Interests

Interests span Financial Markets, Aerospace, Biology, Physics, and Computation Technology, reflecting a commitment to exploring complex systems, understanding interdisciplinary connections, and applying analytical thinking across both scientific and economic domains.

Projects & Research

Selected quantitative and computational work — econometric modeling, geospatial analysis, and tools built end to end.

Application efficiency over time by state

Causal Analysis of GE Crop Efficiency

A causal-inference study estimating how genetically-engineered crop adoption affected U.S. agricultural productivity across states and years.

RCausal InferenceEconometrics
View report →
Used-car resale price vs. mileage regression

Used-Car Market Modeling

Regression analysis of the used-car market, modeling how mileage and vehicle attributes drive resale price across thousands of listings.

RRegressionMarket Analysis
View report →
Seasonal NDVI raster map

Seasonal Satellite NDVI Analysis

Geospatial study using ESA Sentinel-2 imagery to model seasonal vegetation health (NDVI) over the Great Dismal Swamp refuge.

ArcGIS ProRemote SensingGeospatial
View study (PDF) →
Expected-value calculator interface

HTML-Parsing EV Calculator

A Chrome extension that parses page content into structured arrays and computes expected values, with a built-in outcome simulator.

JavaScriptChrome ExtensionAutomation
View on GitHub →
Granular sand simulation forming dunesInteractive · Live

Falling-Sand Sandbox

An interactive falling-sand sandbox with a dozen materials — sand, water, oil, lava, fire, stone and more — each with its own physics. Powders pile, liquids flow and layer by density, fire spreads, and lava meets water to forge stone.

JavaScriptCellular AutomataPhysics
Launch simulation →