Using performance-ready data science to make the government more efficient and the world a better place.

Lead data scientist in Chase for Business analytics, infrastructure modernization, and integration efforts- Develop, adapt, and socialize causal inference methods to assess cross-line of business-relationships, investment efforts, and customer program impacts- Define and test strategic hypotheses for the acquisition, retention, and relationship deepening for 4M+ clients representing 10% of US small businesses- Keynote / Inaugural presenter for several internal technology and analytics professional development seminars- Create and maintain core data assets to improve common finance & strategy analytics time-to-delivery from days/weeks to minutes- Identify and champion infrastructure modernization needs and Cloud platform testing requirements to augment reporting and prescriptive analytics efforts , improving the workflow of 1k+ quantitative professionals and reducing repetitive analytics production system load by >40%,

Consumer/home lending forecasting (operations, marketing, sales, finance/strategy)Marketing attributionCausal inferenceStatistical modelingData analysisAd-hoc and deep analytics

I built statistical models to add robustness and predictability to the finance industry.Competencies* PPNR/CCAR Modeling* Time series/forecasting* Clustering/Customer Segmentation* EDA* SAS/Python/Teradata* Panel data methods* Discrete choice modeling

Teaching, review sessions, course module creation for:* Introductory Macroeconomics (Fall 2009 through Spring 2010)* Intermediate Microeconomics (Summer 2010, Fall 2011, Fall 2013)* Financial Economics (Fall 2010 through Spring 2011)* Computational Economics (Spring 2012, Fall 2012)* Graduate Empirical Industrial Organization (Spring 2013, Spring 2014)

Field: Empirical Industrial OrganizationProject: Nonlinear PricingTechniques:* Method of Moment Inequalities* Generalized Method of Moments* Simulated Method of MomentsTechnology:* Matlab* GAUSS* Python------------------------------------Field: Computational EconomicsProject: DUALI port to WindowsTechnology:* WinAPI* Visual Studio

Field: Empirical Industrial Organization, some spillover into Health EconomicsProject: empirical analysis of nonlinear tariffs (price schedules) in a monopolist and duopolist setting.Technologies used:* MySQL* Python* Matlab/GAUSS* R

Ad-hoc strategy and BI consulting for small businesses in the Austin area, including* Healthcare Analytics* Auction pricing* Online educational services

Utility analysisTechnical project performance review with customersTechnical project performance review with managementBeta testing softwareEconometric analysisContract adherence verification & audit

Research in computational economics and financial systemsDevelop self-updating database (C#)