• Analyzed internal and bureau consumer data against responses to a confidence survey of 10,000 subprime/near-prime customers to derive trends in key financial health drivers like credit utilization, purchase volume, and FICO delta• Synthesized data analysis into actionable strategies that would introduce new financial resources, streamlined accessibility of current tools, and opportunities for enhanced customer segmentation; all deliverables aligned with the team's vision of reducing charge-off rates within Capital One’s core revenue base• Presented deliverables and recommendations to upper management (team director and VP)

• Spearheading an annual selective trip for intimate, off-the-record conversations with creatives, entrepreneurs, and leaders in prominent sectors with the purpose of influencing career trajectories of 20 students• Establishing networks with business leaders to introduce conversations and connections with students • Raising and managing a $20K fund for travel, city exploration, and lodging

Princeton Autonomous Vehicle Engineering (PAVE) is a Princeton University student research organization focused on the advancement of robotics and artificial intelligence. For the past 20 years, the team has focused on conducting research and engaging in competitive challenges with a variety of land and maritime vehicles. PAVE’s work is highly impact-focused, emphasizing the development of novel techniques and algorithms.Currently, I am: • Guiding the strategy and project development across 4 sub-teams (25+ engineers) to drive innovation and research in autonomous land and vehicle technologies• Initiated a multi-phased plan to introduce a low-cost entry, intercollegiate autonomous racing league, beginning with the development of an autonomous lightweight land-vehicle• Built partnerships with industry and university sources to secure $10K+ working capital and enable access to novel autonomous technology

• R&D for automation of small-scale land vehicles (i.e. golf carts, go-karts)• Spearheading the development of computer vision and decision algorithms implementable towards warzone simulations• Introducing a self-driving component to a hydroplane peaking at 70 mph

• Owned Network Design and Identity Access Management workstreams under a mock healthcare divestiture case to ensure data separation across 25+ network sites, access provisioning for 250+ accounts, and transition policies for smooth Day 1• Assisted in financial modeling to project future capital expenditures and reduce separation costs of up to $18.4M• Presented pitch, financial model, and other deliverables to Managing Directors

Records Management Technology Team (RMTT)• Assisted the testing and deployment of the Agency-wide Records Management Service (ARMS) – a streamlined digital process for uploading / accessing 10M+ EPA records and metadata – discovered and resolved multiple high-priority bugs• Developed an ARMS API with full-text/metadata query and bulk file export capabilities to automate eDiscovery litigation, Freedom of Information Act requests, and NARA dispositioning; reduced retrieval periods from monthly to hourly periods• Automated the remapping of ARMS document tags to validate ownership history during federal agency reorganizations across multiple regions• Presented deliverables to Agency CIO