I am a economist and data scientist. I received my PhD at the University of Minnesota with a research focus on quantifying the effect of different immigration policies on wages and social security. Since then I have been working for Analysis Group as an associate specializing in health care litigation issues. On this site are examples of previous research and projects, a PDF version of my resume can be downloaded here.

Education:

• University of Minnesota, MN, 2013-2019, Ph.D in Economics

  • Created quantitative models to predict the effects of changing immigration policy on labor markets and U.S. fiscal policy.
  • Utilized econometric methods to analyze and estimate workers' substitutability by educational attainment and country of education using large scale census data from IPUMS.
  • Developed custom optimization methods to reduce the run time of the model central to my thesis from 22 hours to under 2 minutes allowing for more in depth policy analysis.

• University of Minnesota, MN, 2013-2015 MA, in Economics

  • Identified and forecast the main drivers of the U.S business cycle using time series data.
  • Analyzed cross-country data and performed statistical analysis to understand the linkages between international trade flows and fiscal policy.
  • Completed extensive coursework in both cross section and time series econometrics, computational methods and trade economics.

• University of Manchester, UK, 2010-2012, BEconSc in Economics

  • Completed extensive coursework in econometrics and statistics with applications to finance.
  • Ranked in top 1% of class and received the Dean’s Achievement Award.

Experience

• Analysis Group, Associate in Health Care Litigation and Data Science, Boston, 2019–Present

  • Managing teams of one to three analysts in building models using large scale patient claims data to understand pharmaceutical markets as part of healthcare litigation.
  • Using econometric models to analyze the effects of illegal physician advertising on prescribing. A result of which was a reduction in damages to our client of 96%.
  • Collaborating on data science projects using NLP to analyze the similarity of patents by rival pharmaceutical companies.
  • Incorporating data from APIs into interactive dashboards to successfully help clients understand opioid prescribing across states and time.
  • Developing machine learning training materials in Python and R.

• University of Minnesota, Lead Instructor for Principles of Macroeconomics, Minneapolis, 2014–2019

  • Collaborated and leading a team of 15 teaching assistants and instructors to create learning resources.
  • Communicated these learning resources to over 700 students through seminars, lectures and online learning.
  • Received the Distinguished Instructor Award 10 times, for obtaining a rating above 90% in student feedback evaluations.

• Analysis Group, Summer Associate Consultant, Washington, D.C., 2017

  • Provided theoretical analysis of monopolies in the technology industry as well as the interaction of firm structure and tax liability.
  • Communicated the findings of these projects to upper level management and clients.

• Economic Development Fellows Program at the University of Minnesota, Consultant, Minneapolis, 2017

  • Provided statistical analysis and forecasts of future sales as part of pro-bono consulting services to a Minneapolis based medical device company to help complete the commercial section of a grant application.

Skills

• Coding

  • Python, Dash
  • R, RMarkdown, Rshiny
  • SQL
  • Matlab
  • STATA
  • SAS
  • AWS
  • Google Cloud Platform

• Certification

  • Coursera: Google Cloud Platform Big Data and Machine Learning Fundamentals