Hello!

I am currently seeking new opportunities in data science and analytics. My data science toolkit is like a Swiss army knife – I have a wide-ranging set of knowledge and experience to draw from but no single specialization. I have experience with applied statistical and econometric modeling, machine learning, and data visualization and have implemented models in a few different programming languages. This has been helpful for working on research projects and telling stories with data. My Swiss army knife toolset will allow me to flexible and adapt to the next data project and future colleagues' workflows.

This page has a short summary of my professional background. More details are available on the printable version of my resume.

Education

  • Simon Business School -- University of Rochester (NY)
    Master of Science in Business Administration
    August 2019
  • The College of Wooster (OH)
    Bachelor of Arts in Economics
    May 2013

Professional Experience

  • Federal Reserve Bank of Cleveland
    Research Analyst
    June 2014 - June 2017
    • I worked for three years in the bank's research department. I improved my skills in data analysis, statistics, econometrics, and data visualization. I expanded my data toolkit by writing code in SQL, R, Matlab, and Stata for projects. My primary responsibilities were working on briefings for bank management, academic research, and surveying Beige Book participants. Highlights include co-writing nine bank-published research publications and writing automated production code for median and trimmed-mean consumer price index calculations.
  • International Food Policy Research Institute
    Contract Research Assistant
    Dec 2013 - Apr 2014
  • DTE Energy
    Summer Student Intern
    Summers 2011 & 2012
    • For two summers I worked in the office of Monroe Power Plant. I liked the wide variety of projects I worked on. Highlights include updating the plant intranet website and creating databases to organize procedures for plant operators, co-running a public relations booth at a weeklong event and organizing 50 volunteers who supported it, and studying and reporting on site traffic flows in a congested area for a safety committee.

Skills

  • Programming: Python, SQL, R, Matlab, Stata
  • Tools: Git, GIS (QGIS), Linux, Bash, Shell Programming, Windows, Microsoft Office, Hugo static site generator, Docker, DigitalOcean
  • Data Science: Data cleaning/wrangling, visualization, statistics, econometrics, probability, machine learning, regression, classification, clustering, time series, panel data

Federal Reserve Publications

I look forward to hearing from you and working with you in the future!