Michael Dowd is a Senior Data Scientist in Seattle with 11 years of experience applying data science to civic tech, social impact, and transportation problems. He has led and delivered end-to-end data products—from automated ETL pipelines and Tableau/Looker dashboards to generative-AI chatbots—while often serving as the sole data scientist on cross-functional teams. His background in transportation planning and city planning (MS from MIT) informs pragmatic modeling and data collection work, including large-scale travel demand models, web scraping for route-level travel times, and automation of GIS workflows. At DataKind he scoped and technically led 20+ volunteer projects, translating complex technical solutions for non-technical partners and maintaining deployed tools. Comfortable in AWS, Airflow, Python, and modern LLM toolchains, he blends production engineering discipline with a strong record of pro-bono and mission-driven impact. An under-the-radar strength is his ability to turn messy, policy-relevant municipal data into reliable, reusable products that inform decisions across ventures and grantees.
11 years of coding experience
7 years of employment as a software developer
Master of Science in Transportation and Master in City Planning, Civil Engineering / City and Regional Planning, Master of Science in Transportation and Master in City Planning, Civil Engineering / City and Regional Planning at Massachusetts Institute of Technology
Bachelor's degree, Urban Studies/Affairs, Bachelor's degree, Urban Studies/Affairs at City University of New York-Hunter College
Contributions:6 PRs, 172 pushes, 8 branches in 1 month
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