Overview• Lead large special projects with tight timelines and high visibility.• Strong customer protection focus among diverse portfolio of reporting and modeling projects, including fraud detection, enforcement agency investigation support, customer feedback analysis, program compliance tools, and outreach campaigns.• Work with large and complex data sets to solve difficult, non-routine problems using SQL and Python; develop analytic models and work closely with cross-functional teams to implement solutions; communicate results of to technical and non-technical clients.• Manage and perform quality control for project databases; proactively identify, troubleshoot, and resolve production data and code issues.• Responsible AI thought leader; presented on "Fairness Metrics and Detecting Bias" at the Northeastern University Arlington Campus Responsible AI Symposium in October 2022.• Generative AI growth and strategy lead working closely with federal clients to identify AI use cases and vet and prototype solutions.Key Projects and Accomplishments• Managed a team through the flawless launch of a public-facing website supporting a White House initiative, supporting two teams through requirements, design, refinement, and launch and subsequent troubleshooting and maintaining the website in production, which over 26M people successfully utilized in the firstmonth.• Redesigned PowerBI HR dashboards for a large federal client with a focus on understanding hiring and attrition, diversity and inclusion, and compensation trends. Introduced a data model improvement that decreased the number of individual pages by 10x while enhancing the level of detail.• Provided curated data for targeted customer outreach campaigns to millions of customers, including support for A/B message testing.• Partnered with a variety of federal watchdog agencies for fraud enforcement efforts that have resulted in >$66.5M in monetary judgements assessed.