Phillip Wong is a data analyst with eight years of experience applying quantitative tools to urban policy and transportation systems, currently contributing at The New York Times from the New York City metro area. He specializes in SQL, R, and Python to analyze large mobility datasets—having worked with tens of millions of trip records to model fare changes, measure industry health, and recommend EV charging sites. Phillip builds decision-focused products including R Shiny and PowerBI dashboards that translate complex analyses into executive-ready KPIs and automated reporting pipelines. His background in municipal analytics (NYC and Los Angeles) and hands-on roles in college operations reflect a blend of technical rigor and community-centered program design. Notably, he helped standardize cross-departmental data practices for city governments and automated weekly aggregation workflows that scaled to millions of trips. He brings an interdisciplinary mindset that pairs reproducible analytics with practical implementations to improve equitable urban infrastructure.
8 years of coding experience
4 years of employment as a software developer
Social Sciences, Social Sciences at University of Amsterdam
Bachelor of Arts - BA, Economics, Bachelor of Arts - BA, Economics at Occidental College
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