E Aja is a software engineer with 11 years of experience applying data science and engineering to public-sector and product problems, currently building at Posit PBC after a four-year tenure as a Senior Solutions Engineer there. They have repeatedly turned slow, manual workflows into automated, production-ready tools—replacing week-long Excel processes with Shiny apps and scripts that cut delivery time to minutes and weeks to days. Their background at the GAO and VMLY&R blends rigorous program evaluation and Census campaign optimization with ML-driven document classification and NLP at scale. Comfortable across R, Python, Shiny, Flask, and deployment platforms like Google App Engine and Vercel, they bridge analytics and software to ship usable interfaces for nontechnical stakeholders. Notably, they’ve led workflow automation efforts that materially increased reporting cadence and reduced human review loads by an order of magnitude.
10 years of coding experience
8 years of employment as a software developer
Master of Public Policy Public Policy Analysis, Master of Public Policy Public Policy Analysis at Hertie School
Bachelor of Arts Philosophy Inequality Studies, Bachelor of Arts Philosophy Inequality Studies at Cornell University
Master of Public Administration (MPA) State and Local Government Finance Program Evaluation, Master of Public Administration (MPA) State and Local Government Finance Program Evaluation at Syracuse University - Maxwell School
Contributions:30 commits, 8 pushes, 2 branches in 1 year
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