Leveraged my background in econometrics and data science as part of a team of data scientists designing and building student achievement models and teacher effectiveness measures.Sample of Projects & Accomplishments:• Project manager leading research collaboration with external research institute consisting of economists, statisticians, and data scientists. Responsibilities include setting research agenda, managing research timelines, drafting contracts/budget, and serving as main point-of-contact• Researched and programmed a modified, multiple imputation methodology (Rubin 1987) in SAS to impute missing historical data • Design data visualizations and animations that communicate key data science concepts for official DOE reports and data products using R (e.g. ggplot2, gganimate, tweenr, networkD3, and Shiny).• Currently collaborating with product designers and engineers to develop a consumer-facing data viz dashboard that displays teacher flows across time.• Led effort to consolidate and migrate the department’s entire body of code (master and development) into Git version control. Process involved leading Git training sessions and customizing Git hooks to facilitate smooth collaboration across office

Supported clients with expert review, expert rebuttal, deposition preparation, and statistical sampling analysis in commercial litigation.Sample of Projects & Accomplishments:• Provided statistical and econometric support for a landmark RMBS litigation case against Wall Street banks.•Oversaw a small team of junior staff in developing econometric and statistical critiques for depositions of high-profile economists and real estate professionals.•Designed and implemented random sampling plans for multiple financial audits of federal clients. Analysis included determining optimal sample size, strata allocation, and extrapolation using Stata programming.• Technical lead on an economic valuation and actuarial review of the Federal Housing Administration’s (FHA) Home Equity Conversion Mortgage portfolio.• Wrote SAS code to perform a competing risk analysis of reverse mortgage termination and ultimately estimate the termination rate of all reverse mortgages insured by the FHA.• Demonstrated skill writing efficient data management programs in SAS, including the use of SAS macros and SQL commands in large data environments.• Programmed a combinatorial algorithm in R to simulate a dataset of 1.2 million counterfeit digital barcodes which were used to determine the accuracy of a counterfeit barcode detection software. • Prepared and edited reports for senior FHA staff and litigation clients. Created publication-quality tables and charts used in reports for senior FHA staff, litigation clients, and Congressional reporting.• Regularly gave technical presentations on econometric and statistical topics to broad target, client audiences.

• Taught three weekly discussion sections of an introductory microeconomics course.• Duties included preparing lesson plans, proctoring exams, grading, managing course website, and holding office hours.

• Created aggregator that collected critical, market intelligence relevant to Treasury Retail Securities• Developed expertise in topics related to Treasury Retail Securities by following all media (i.e. news, social media, blogs, and industry trends) related to Treasury Retail Securities

• Compiled consumer-level bond purchasing data from disparate databases to develop tables and charts highlighting monthly purchasing trends in Excel.• Using employee-level performance metrics from Access, developed interactive Excel spreadsheets that highlighted departmental inefficiencies and predicted changes in productivity depending on staff changes.