Analytics Scientist and PhD Candidate at the University of California, San Diego. See what I'm up to by visiting my page: www.rummanchowdhury.com Masters in Quantitative Methods of the Social Sciences from Columbia University and undergraduate degrees from MIT. My diverse background in both academia and the private sector focuses on providing real-world solutions using advanced analytical techniques as a team member and as a team leader. Proficient at the instructor-level in R and STATA (10+years), and proficient in survey design and programming in Qualtrics. Expanding my knowledge in Python, Hadoop, and KNIME for big data and unstructured data analysis and ArcGIS and Gephi for data visualization. My expertise in research design has culminated in a forthcoming academic book publication.

Analytics Scientist @ As a member of the Data Science team, I am responsible for quantifying deep understanding of consumer behavior patterns and motivations through analysis of consumer response to product and marketing strategies and tactics. In this capacity, I utilize advanced data mining and statistical techniques to drive this empirical understanding and surface optimization and product enhancement insights and opportunities. My role is to contribute to the analytics roduct lifecycle of strategy, design, development, test and delivery of data-driven algorithms and techniques to further optimize the product offerings. I work closely with the senior members of Product, Engineering, Sales and Production Operations, collaborating on driving consumer focused solutions across personalized promotion, media and advertisement recommendations, targeting and insights. From September 2014 to Present (1 year 4 months) Short Term Consultant @ Difference-in-Differences model of a quasi-experiment to assess water projects in rural Indonesia Author of the methodology and fndings sections of resulting publications. With John Ikeda, Water and Sanitation Specialist and Heather Arney of water.org. From April 2014 to Present (1 year 9 months) Short Term Consultant @ Designed, implemented, and analyzed a UC-wide student survey to assess and improve Graduate and Professional Development Programs. Designed and conducted both qualitative (interview) and quantitative (online) data collection using Qualtrics. Utilized Python text-scraping tools to generate distribution list. Analyzed data (N~4,000) to provide macro-level UC-wide recommendations and campus-level reports for nine UC campuses. With Paul Escobar, Director of Program Operations. From February 2014 to May 2014 (4 months) Graduate Research Assistant @ Used cluster analysis to generate objective admissions criteria based on subjective student assessments for global applicants. Presented findings at the National Association of Graduate Administrative Professionals annual conference. With Prof. Emilie Hafner-Burton, Director of the Laboratory on International Law and Regulation. From July 2011 to September 2013 (2 years 3 months) Short Term Consultant @ Coordinated the analytical team to develop a multi-level model and propensity score analysis of the Adolescent Health database to determine whether harsh school disciplinary protocols push youth toward criminal behavior. The Adolescent Health database is a multi-year panel study with N=20,000. From December 2012 to August 2013 (9 months) Associate Director of Forecast Operations @ Synthesized client needs into appropriate econometric analyses to generate forecasts, optimiza- tions, simulators, etc., as required. Strong project management component, including directing programmers and feld houses and coordinating with clients. From July 2007 to June 2009 (2 years) Greater New York City AreaAssociate Economist @ Calculated global leading, lagging, and coincident economic indica- tors for the US, UK and Australia. Contacted major media outlets and wrote press releases for distribution. From August 2006 to July 2007 (1 year)

Doctor of Philosophy (PhD), Political Science and Government @ University of California, San Diego From 2009 to 2014 MS, Quantitative Methods @ Columbia University in the City of New York From 2005 to 2006 BS, Political Science, Management Science @ Massachusetts Institute of Technology From 1998 to 2003 Rumman PhD is skilled in: Statistics, R, Data Analysis, Stata, Quantitative Analytics, Data Mining, Big Data, Hadoop, Knime, ArcGIS, Gephi, Statistical Modeling, Machine Learning, Python, LaTeX