• Lead large-scale government data projects, including cross-functional team coordination, client relationship management with federal agencies, and budget management. • Create and implement record linkage algorithms using Python, integrating administrative records and survey data to enhance the value of government agency data products. • Modernize outdated government data systems by transitioning legacy codebases from SAS/STATA to R/Python. • Develop and deliver educational materials and training programs on Python, R, and SQL coding best practices to enhance government agency staff capabilities. • Train and mentor government analysts at federal and state agencies, strengthening data science analytical capabilities across agencies. • Build and maintain interactive dashboard visualizations using tools like R Shiny to deliver dynamic, data-driven reports that inform agency leadership and policymakers in decision-making. • Conduct text analysis and natural language processing (NLP) to extract insights from unstructured data. • Author and contribute to federally funded reports and research papers documenting the impact of government data science initiatives.