Binh Nguyen is a data scientist with eight years of interdisciplinary experience blending environmental engineering research and applied data work, currently at Trusting Social in Hanoi. He moves fluidly between data cleaning, API-driven engineering, and exploratory analysis, with deep domain expertise in air quality, low-cost sensors, IoT, and water/algae bioreactors stemming from academic and independent research. His background includes a PhD-trained understanding of experimental systems and hands-on implementation of sensor calibration, QC roadmaps, and home-built weather stations, plus production analytics at scale. Notably, he has a history of turning lab-scale bioreactor and photobioreactor controls into automated systems and open-source projects, demonstrating both scientific rigor and practical engineering. Colleagues rely on him to translate noisy environmental data into actionable insights and reproducible workflows using Python and SQL.
8 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Environmental Engineering, Doctor of Philosophy (Ph.D.), Environmental Engineering at Arizona State University
Bachelor of Science (B.S.), Environmental Engineering, Bachelor of Science (B.S.), Environmental Engineering at Hanoi University of Science and Technology
Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)
Contributions:53 commits, 2 PRs, 77 pushes in 1 year 1 month
analyzingpython-codeparticlepythonfine
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