Utility Analyst at San Francisco Public Utilities Commission
Oakland, California, United States
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Summary
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Senior
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Top School
Daniel Sundy is a data-driven Utility Analyst with 11 years of cross-sector experience applying analytics, ML, and operational rigor to finance, utilities, government, and research. Armed with a Master of Analytics from UC Berkeley and a BA in Mathematics, he turns fragmented datasets into actionable dashboards and streamlined processes—recently improving billing estimate accuracy and unifying CRM insights at the SFPUC. He has production ML and data-integration experience, including training a Siamese LLM for field matching and stabilizing MongoDB-backed API workflows. Comfortable translating technical complexity for nontechnical stakeholders, he blends hands-on Python/SQL work with process design to reduce delays and redundant coordination. Colleagues rely on him to find pragmatic, implementable solutions at the intersection of data, operations, and technology.
11 years of coding experience
1 year of employment as a software developer
Master of analytics Data, Master of analytics Data at University of California, Berkeley
Bachelor's degree Mathematics, Bachelor's degree Mathematics at California State University, Stanislaus
Mathematics, Mathematics at Modesto Junior College
Contributions:2 PRs, 8 pushes, 8 branches in 3 years 8 months
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