You can also visit my linkedin page.

Work Experience

Capital One

Principal Data Scientist (People Analytics)2021-Present

  • Developing company-wide quality of hire metric in order to optimize new hire quality and evalaute selection practices
  • Created and put into production hiring algorithm to forecast the number of software engineers and business analysts
  • Validated and monitored the performance of the CodeSignal Assessment used for all Software Engineer candidates


Research and Applied Science Intern2020

  • Designed and administered experiment to estimate and recommend revenue-maximizing prices at China WeWork locations
  • Used a combination of machine learning, economics, and data visualization to aid in algorithmic pricing of office units


PhD, Economics

Washington State UniversityMay 2021

  • GPA: 4.0/4.0
  • Focuses: Econometrics, Labor Economics, Economics of Education

MS, Computer Science

Washington State UniversityMay 2021

  • GPA: 4.0/4.0
  • Focuses: Machine Learning, Data Science

BS, Kinesiology

Brigham Young UniversityMay 2012

  • GPA: 3.8/4.0
  • Cum Laude

Research Experience

Ben Cowan and Jon Yoder - Washington State University

Graduate Research Assistant2017-2019

  • Devised causal inference approaches and analyses for various projects in Economics of Education and Developmental Economics under Ben Cowan and Jon Yoder.
  • Built, cleaned, and ran econometric analyses on large datasets (10 million+ observations), high dimensional datasets (1000+ variables), and confidential datasets using Python, R, and Stata

Brent Hickman - The University of Chicago

Research Assistant2014

  • Assisted in the design and implementation of affirmative action field experiment in Chicago that later appeared in FiveThirtyEight
  • Built, cleaned, and analyzed datasets containing student data from several schools

Joe Price - Brigham Young University

Research Assistant2013-2014

  • Hired and supervised 10 undergraduate students to assist in affirmative action field experiment in Utah
  • Implemented various econometric techniques to evaluate topics in Labor and Economics of Education


Causal Inference, Machine Learning, Statistics, Experiments, Data Visualization (D3.js)


Python, Javascript (D3.js), R, Stata, Spark, SQL, Git, Linux


Teaching Experience

Washington State University


Classes Taught:

  • ECONS 506 - PhD Math Camp
  • ECONS 526 - Master's Math Camp
  • ECONS 321 - Sports Economics
  • ECONS 102 - Introduction to Macroeconomics

Awarded School Of Economic Sciences 2019 Excellence in Teaching Award