Fan Fei is a data-driven strategy leader and former Financial Times data visualization journalist with 11 years of experience spanning newsrooms, product strategy at ByteDance, and corporate strategy in animation. She blends storytelling, statistics and machine-learning pedagogy—having co-taught data journalism at Columbia—with hands-on data visualization that lives at fanfei.me. Comfortable switching between editorial rigor and product roadmaps, she has a track record of turning complex datasets into memorable visual narratives and strategic decisions. Based in Hangzhou with international training from UC Berkeley, Fudan and UCLA, she pairs top academic credentials with practical investigative reporting experience at outlets like The New York Times, The Economist and ProPublica. An uncommon strength is her ability to bridge newsroom ethics and commercial product strategy, helping organizations make principled, insight-driven choices.
11 years of coding experience
5 years of employment as a software developer
Master's Degree, New Media, Master's Degree, New Media at University of California, Berkeley
Bachelor of Arts (B.A.), Minor in Economics, Broadcast Journalism, 3.7/4.0 Ranking: 1/39, Bachelor of Arts (B.A.), Minor in Economics, Broadcast Journalism, 3.7/4.0 Ranking: 1/39 at Fudan University
Contributions:1 release, 17 commits, 16 pushes in 7 months
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