Arlington, Virginia, United States
• Led elaboration workstreams and facilitated client meetings with 20+ team members on complex topics, including product vision workshops, elaboration planning, and stakeholder briefings • Conducted statistical analyses on complex datasets with 6+ million rows to identify trends, patterns, and correlations, which provided clients with data-driven insights for strategic planning • Managed and automated reporting pipelines to optimize reporting efficiency and quality, reducing processing time by 50% • Evaluated the performance of the existing anomaly detection model and drove the research, development, and testing of new segmentation methods to improve model performance
• Managed software development lifecycles for numerous federal IT systems, including the Department of Health and Human Services (HHS) and Office of National Drug Control Policy (ONDCP), from requirements gathering to project planning, UI/UX design, development, quality assurance, and deployment using agile principles • Developed relationships with clients and stakeholders to facilitate agreements on scope and timeline estimates through leveraging impact analysis, prioritization, and change management • Developed Tableau dashboards using Google Analytics, Facebook, and survey data to depict customer opinion surrounding various health agencies’ websites, which facilitated consumer research and informed potential areas of improvement
• Developed an iOS application called Substance Abuse Research Assistant (SARA) that serves as a platform to facilitate convenient data collection to help researchers study the dynamics of substance use over time and its determinants in adolescents’ daily lives through physiological data and cognitive tests • Designed a computer system structure under the bus model to efficiently collect data from a single sensing application and send that data to the server to provide feedback to various other applications • Implemented the backend with Synapse to store and parse data in the server • Analyzed the raw data to provide life insights, which was used to develop algorithms through supervised learning in scikit-learn that customized the suggestions sent to the users • Coded model features with which the application used to determine when and what suggestions to push to the users
• Generated monthly membership reports by pulling data from base files in SAS to provide insight into group movement and trends • Automated the process of generating membership reports by developing a macro that reads in data from a CSV file and populates corresponding tables in Excel • Built the Small Group Rate Comparison Tool for Managing Agents to research health plans based on multiple search criteria • Developed the 2017 external sales channel budget model • Determined the revenue impact of the Small Groups without Coverage project by analyzing the in-group gain from new businesses in the small group sector to better inform policies. Tools: SAS • Young Professionals Network: Designed a mobile application that optimizes BCBSM customer experience
• Validated rates for small group health care plans and equipped with a thorough understanding of the underwriting policies and mandates in the Affordable Care Act, deduced the reason for discrepancies using quantitative analysis • Rewrote the code for a macro in the South of Truth Excel files to more accurately reflect pediatric-only dental coverage and thus, streamlining the monthly validation process • Recreated the Best Available Evidence tool in Microsoft Excel with an improved user interface • Developed the total monthly group premium based on a census for a new business and presented the methodology and analysis to leadership in the Underwriting/Actuary department • Young Professionals Network: Created a blueprint to set up an Employee Resource Network for the disabled • Volunteered at JA Finance Park: Facilitated a simulation that educates high school students on financial literacy