Amelia Baum is a Senior Data Analyst with eight years of transit technology and urban data experience, currently driving analytics at Swiftly after progressing from transit data specialist to software engineer roles. She pairs hands-on engineering skills with transportation research training from MIT, translating rider and operator insights into operational improvements and data products. Her work blends rigorous field engagement—running focus groups with hundreds of bus operators and designing pilot schedules—with quantitative modeling and tooling for planners. Amelia has a strong track record in public-sector research and applied machine learning from projects at UC Berkeley and San Francisco city agencies, where her visualizations and models informed policy and won peer recognition. She is especially adept at turning qualitative discoveries into actionable scheduling and equity-oriented metrics that reduce costs while improving operator quality of life.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Urban Studies, Bachelor of Arts (B.A.), Urban Studies at University of California, Berkeley
Master's degree, Transportation, Master's degree, Transportation at Massachusetts Institute of Technology
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