Data Scientist
2016 - 2016Joonko- Built behavioral models in R to detect gender biases in the workforce, including sentiment modeling and Bayesian network modeling.
- Validated behavioral models on multiple datasets.
- Developed SQL codes to extract data sets from a data warehouse.
- Built data visualization in R of key dataset features.
- Refined key insights into documentation for stakeholder presentations.
Technologies: SQL, RQuantitative Analyst
2013 - 2016Bank of America- Built and optimized SAS models to detect and mitigate money laundering and other financial crimes, in charge of every step including risk identification, data sourcing, modeling and coding, user-acceptance testing, deployment, and post-implementation testing.
- Developed and optimized rule-based watchlist screening algorithms within an Oracle tool to catch terrorists, cartel leaders, and other bad actors.
- Built SQL reporting for senior leadership to track operational and compliance risk measures.
- Used linear programming within R and SAS to optimize existing technology solutions.
- Served as liaison between qualitative risk managers and quantitative data-driven processes and technology stakeholders.
- Recognized as an excellent communicator, and received top recognition across teams.
Technologies: Oracle, SQL, R, SASPost-doctoral Fellow
2011 - 2013George Mason University- Developed and tested new prediction and crowd-sourcing methods to aggregate the judgment across diverse set of users to support geopolitical forecasting for the US intelligence community.
- Used open source Bayesian network software to develop aggregate uncertainty assessments of multiple intelligence analysts.
- Competed in two-year forecasting competition as a member of a team of scientists and engineers.
- Performed data reporting and data reconciliation processes to support project principle investigators.
- Presented at academic conferences and published peer-reviewed academic papers.
Technologies: MATLAB, RGraduate Research Assistant
2008 - 2011University of Virginia- Developed models to support decision-making within the US Department of Defense for energy security at US-based installations.
- Built statistical models to predict extreme weather events.
- Developed risk assessments of infrastructure investment in developing countries.
- Presented at academic conferences and published peer-reviewed academic papers.
- Mentored undergraduate engineering students.
- Awarded the highest recognition within the department.
Technologies: MATLAB, R