Patrick Underwood is an experienced data scientist seeking a new position. He has a Ph.D. in Sociology from the University of Washington along with certificates in statistics. He has extensive experience conducting statistical analyses and building predictive models across various industries. Underwood is proficient in R, Python, SQL, and other programming languages and statistical software. His recent experience includes building sales forecasting models and dashboards as a data scientist at LORAC Cosmetics.

1. PATRICK UNDERWOOD
891 Dark Star Ave. Gahanna, OH | 614-495-7275 | pu171103@gmail.com
PERSONAL STATEMENT
Adaptable data scientist with training and experience across a wide spectrum of tasks-
from collection to investigation to reporting results. Proficient with an array of statistical techniques and
software. Particularly adept at designing and implementing statistical analyses and providing clear,
detailed presentation of results to technical and non-technical audiences.
CORE COMPETENCIES
Extensive training in an array of statistical techniques from standard analytics to cutting edge methods
including Bayesian, machine learning (including neural networks, regression trees, support vector
machines), and standard, regression-based predictive models. Experienced with construction of datasets,
mining of existing datasets, and construction of custom predictive models. Software proficiency including
R, STATA, SAS, SPSS, MySQL, Python, MS Access, and the Microsoft Office Suite. Comfortable working
alone or on group projects. Thorough training in proper research design and data collection methods.
Excellent interpersonal skills.
EDUCATION
University of Washington
Ph.D. Sociology 2016
Certificate in Statistics for the Social Sciences
Ohio University
M.A. Sociology 2009
Ohio University
B.A. Honors Sociology 2007
SOFTWARE AND COMPUTER FLUENCY
Statistical Packages: R, R Revolution, STATA, SPSS, Pandas
Database Management: My SQL, MS Access, MS SQL Server
Programming / Scripting: Java, Python
Web Design: JavaScript, HTML5, CSS
RECENT EXPERIENCE
LORAC Cosmetics, LLC – Data Scientist 2016 (Present)
- Designed and implemented new national level sales forecasting model
- Built and deployed custom cloud based sales dashboard
- Implemented system for gathering data on competitor e-blasts
- Automated production of weekly sales reports
University of Washington / New York University Abu Dhabi – Analyst 2016
- Conducted spatial and temporal analysis of insurgent attacks in Iraq.
- Reconstructed, cleaned, recoded dataset from SIGACT.
University of Washington – Dissertation 2016
- Utilized machine learning techniques to predict urban unrest.
- Built large scale dataset from GDELT using R, MySQL and Python.

2. PATRICK UNDERWOOD PAGE 2
University of Washington – Analyst 2015
- Used advanced regression techniques to model behavior of officers
in the British Royal Navy.
- Managed, cleaned, recoded dataset.
- Devised analytical and modeling strategy to meet project lead’s needs.
- Work supported by US Air Force OSR grant.
- Work published in American Sociological Review
OTHER EXPERIENCE
Ohio University / Microsoft 2009
- Gathered data used to evaluate user behavior in beta testing of
social networking platform
Ohio University – Master’s Thesis 2009
- Utilized web scraping and network analysis to model the relationships
and behavior of members of a social movement group with no
formal membership.
AWARDS
Research Assistantship, University of Washington 2015
Graduate Assistantship, University of Washington 2010 - 2016
Graduate Fellowship, Ohio University 2008
PUBLICATIONS
Hechter, M., S. Pfaff, and P. Underwood. 2016. “Social Order and the
Genesis of Rebellion: An Analysis of Mutiny in the Royal Navy in the Age
of Sail.” American Sociological Review (81): 165-189. 2016
Radnitz, S. and P. Underwood. 2015. "Is Belief in Conspiracy Theories
Pathological? A Survey Experiment on the Cognitive Roots of Extreme
Suspicion." British Journal of Political Science, April 2015, 1-17. 2015
Underwood, P., S. Pfaff, and M. Hechter. 2015. "Threat, Deterrence and
Penal Severity: An Analysis of Flogging in the Royal Navy, 1740-1820.”
Under review at Theory and Society. 2015
Underwood, P. and H. T. Welser. 2011. “’The internet is here': emergent
coordination and innovation of protest forms in digital culture.” Pp. 304-
311 In Proceedings of the 2011 iConference (iConference '11). ACM,
New York. 2011
Welser, H. T., P. Underwood, D. Cosley, D. Hansen, and L. Black. 2011.
“Wiki-Networks: Networks of Creativity and Collaboration.” pp. 247-272 In
Analyzing Social Media Networks with NodeXL: Insights from a
Connected World (D. Hansen, B. Shneiderman, and M.A. Smith eds.)
Burlington, MA: Elsevier, Inc. 2011
MEMBERSHIPS
Phi Beta Kappa
Phi Beta Phi
REFERENCES
Available upon request