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Phi N.

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Staff Machine Learning Engineer | Payments & Risk at Gusto
📍 Brooklyn, New York, United States

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."

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Experience
11 Years
Current Role
Staff Machine Learning Engineer | Payments & Risk
Job Level
Middle
Location
Brooklyn, New York, United States
Personality Overview

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Priorities

Topics Phi cares about

ML in FinTech
As a Staff Machine Learning Engineer in Payments & Risk at Gusto, he builds and deploys models to mitigate risk and secure user activity.
Data Visualization
He built a data visualization project for the Bundesliga season using d3.js, demonstrating a hands-on interest in representing complex data.
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Career

Work history

2-2025
Staff Machine Learning Engineer | Payments & Risk
Gusto
4-2024 - 2-2025
Staff Machine Learning Engineer | Manager | Growth
Gusto
6-2023 - 4-2024
Staff Machine Learning Engineer | Growth
Gusto
1-2023 - 6-2023
Staff Data Scientist | Growth
Gusto
8-2021 - 12-2022
Senior Data Scientist | Growth
Gusto
In the press

Media appearances

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Education
2016 - 2019
Master of Science - MS
Humboldt-Universität zu Berlin
2009 - 2013
B.A.
University of California, Berkeley
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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