Zachariah Miller

I started my career by getting a PhD in Nuclear Physics, and quickly fell into doing large scale data analysis inside the physics domain. After several years of writing C++ to interface with detector outputs and process terabyte scale data, I stumbled upon machine learning as a toolset for automating many of the day-to-day decisions I was needing to make for my analyses. After letting machine learning thoroughly blow my mind, I transitioned into industry and eventually started teaching Python, data science, data engineering, and machine learning at Metis Data Science Bootcamp. I have a deep love of well documented code, numpy, and crisp data pipelines that actually have edge case handling.