CV/Resume

Workday

Senior Data Scientist (People Analytics) 2024–Present

• Lead research to track and increase GenAI usage across Workday.
• Apply causal inference techniques to estimate the impact of employees joining workplace clubs on collaboration and sentiment.
• Provided insights on Workday’s Giving and Doing program that guided a redesign to boost employee volunteering.
• Delivered in-depth analysis and strategic recommendations on time-off policies (PTO and leaves of absence) to the executive committee, improving tracking accuracy and informing updates to leave policies.

MIT CSAIL – FutureTech Lab

Research Affiliate 2024–Present

• Lead research quantifying the efficiency, performance, and real-world impact of the most important algorithms in society.
• Design pipelines to map code (e.g., GitHub repositories) to algorithm families and measure algorithm adoption and diffusion.
• Mentor and supervise MIT undergraduates on research initiatives.

Toyota North America

Principal Data Scientist (People Analytics) 2023–2024

• Developed a company-wide attrition model to support workforce planning and provide actionable insights to leadership.
• Analyzed the impact of PTO policies using causal inference techniques.
• Modeled employee interactions and work habits to improve team dynamics and work–life balance.
• Conducted in-depth office attendance and hybrid-work analyses for executive presentations.
• Supervised and supported a data science intern and analyst on key projects.

Capital One

Principal Data Scientist (People Analytics) 2021–2023

• Pioneered the creation, development, and validation of short- and long-term Quality of Hire metrics to improve hiring effectiveness.
• Used synthetic control and propensity score matching to estimate the effects of various return-to-office policies for executives.
• Designed, developed, and productionized hiring forecasting models for software engineering and business analyst roles.
• Combined causal and predictive modeling to optimize 2022–2023 software engineering hiring from university campuses.
• Assisted with pay-equity modeling to support fair compensation practices.
• Validated and tested the CodeSignal General Coding Assessment used for all software engineering candidates.
• Mentored a junior data scientist.

WeWork

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

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

Washington State University

Instructor2017-2020

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