Phi is a Staff Machine Learning Engineer at Gusto, focusing on Payments and Risk. His experience spans various data science and ML roles within the company, including a focus on growth. He holds a Master of Science from Humboldt-Universität zu Berlin and a Bachelor of Arts from the University of California, Berkeley.
Outside of his primary role, Phi has a keen interest in urban design and public transit systems. He actively engages in personal projects, such as developing a data visualization of the German Bundesliga season using d3.js, showcasing his passion for both data representation and sports.
He has a stated passion for fine-grained urban design and public transit, calling them "the bees knees."
Read the full overview →Behavioral traits and communication patterns that shape how this person evaluates opportunities, builds trust, and makes decisions in professional settings.
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