PATRICK UNDERWOOD

891 Dark Star Ave. Gahanna, OH | 614-495-7275 | pu171103@gmail.com

PERSONAL STATEMENTAdaptable 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 andsoftware. Particularly adept at designing and implementing statistical analyses and providing clear, detailed presentation of results to technical and non-technical audiences.

CORE COMPETENCIESExtensive training in an array of statistical techniques from standard analytics to cutting edge methodsincluding 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.

EDUCATIONUniversity of Washington

Ph.D. Sociology 2016Certificate in Statistics for the Social Sciences

Ohio UniversityM.A. Sociology 2009

Ohio UniversityB.A. Honors Sociology 2007

SOFTWARE AND COMPUTER FLUENCYStatistical Packages: R, R Revolution, STATA, SPSS, PandasDatabase Management: My SQL, MS Access, MS SQL ServerProgramming / Scripting: Java, PythonWeb Design: JavaScript, HTML5, CSS

RECENT EXPERIENCELORAC 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.

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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 EXPERIENCEOhio 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.

AWARDSResearch Assistantship, University of Washington 2015Graduate Assistantship, University of Washington 2010 - 2016Graduate Fellowship, Ohio University 2008

PUBLICATIONSHechter, 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

MEMBERSHIPSPhi Beta KappaPhi Beta Phi

REFERENCESAvailable upon request