Worked as a Data scientist in the Chief Technology Operations Office to leverage internal service demand for reporting and forecasting. Responsible for data ingestion pipelines, ETL, Tableau Dashboard development, and management reporting. Advanced use of SQL and Python for data management and analysis.

Worked within multi-disciplinary research teams as a data manager and analyst, leading data collection, analysis, and dissemination. Completed projects on economic impact, criminal justice, behavioral health, substance abuse, and treatment efficacy. Worked with clients such as the USDA, DOD, ASPE, and DHHS. Briefed clients on project methods and deliverables. Co-authored presentations, reports, and publications in journals such as Behavior Research Methods and JMIR mHealth and uHealth.

Utilized IMPLAN, Stata, R, SAS, and Excel to produce relevant economic research for Commerce partners and allies. Extensive work with time-series data (ARIMA, VAR, Regression) to produce long-term (10 year) and short-term (2 year) employment projections by NAICS code for state and local areas in addition to original research on North Carolina for publication by the department. Made presentations to local Economic Development Boards, NC Legislature, and private partners. Worked with a variety of government and third party data sources for reports.

Teaching lecture math courses of 20 - 25 students. Leading 5 - 10 student classes on GRE/GMAT math preparation. Classes require catering material to audience, fostering a conducive learning environment, and managing classroom pace with long term class goals.

Produced state and sub-state level short term and long term projections. Acquired indepth knowledge of North Carolina economic trends for use in estimations. Used detailed industry information and advanced statistical techniques for projections. Self-taught Excel VBA and advanced Excel techniques for formatting large spreadsheets and SAS Enterprise Guide for forecasting. Attended Data Manipulation Techniques and Regression with SAS at the SAS Institute for additional training.

Helped estimate advanced estimates for the GDP by State figures, focusing on the manufacturing industries. Improved software estimation program by learning VB 6 and .NET to rewrite the estimation program. Also learned SQL and completed Advanced level courses in MS Access and Excel to help collect the data for estimation. Estimation process also required use of SAS to process and format large data files. Additional duties included research into new ways to dis-aggregate consumer spending and new indicators for state-level industries.