Teaching Assistant for the Engineering course Data and Decision Science

- Selected to participate in Data+, a research program exploring data-driven approaches to interdisciplinary challenges- Operationalized the machine learning pipeline for the Duke Medical Center analysis of Electronic Medical Records (EMR)- Performed data analysis using Apache Spark to demonstrate utility and need for distributed computing for tasks not possible with current data and workflow architecture- Performed predictive analysis on Electronic Medical Records (EMR) for prediction of disease in premature babies using machine learning algorithms and natural language processing, with guidance of Duke Hospital clinicians.- Developed tools for Duke Forge researchers, including Natural Language Processing tools

-Reported to lead UX designer and focused on data visualization and modeling for large multi-national telecommunications provider-Evaluated data visualization tools which resulted in an internal presentation to CEO, Chief Revenue Officer, lead UX designer. -Assessed client needs to provide recommendations for data and visualization tools and participated in presentation of recommendations to client

-Learned Python to support research team-Managed and reviewed research paper submissions to the Brain Informatics and Health Conference '15-Actively participated in the organization of the Brain Informatics & Health Conference '15

Work Experience with Barclays Design Office: -Worked with Design and User Experience teams to redesign webpages and mobile apps-Experience with both service and interaction design.-Completed iterative wire framing based on user testing feedback. Data and Insights:-Developed use case for a potential business partner and presented back to members of the insights team.-Experience with Tableau data visualization tool.-Conducted market research on Barclays' use of social media.-Evaluated and analyzed findings to present back recommendations to social media team.