Summary
Vlad Drobinin is a Senior Data Scientist with a decade of experience translating complex data into actionable insights using statistical learning and reproducible workflows. He combines a strong research background—a PhD in Medical Neuroscience—with hands-on expertise in Databricks/Spark, Scala, R (tidymodels, ggplot2) and Python (scikit-learn, AutoGluon) to build robust data pipelines and production-ready models. Vlad excels at communicating results to broad audiences through clear visualizations and version-controlled analyses, bridging research rigor with pragmatic engineering. Based in Niagara Falls, Ontario, he brings a curiosity-driven approach informed by academic research and sharpened by practical ML tooling. Outside of work he channels visual thinking into photography and hones pattern recognition through trivia, hiking, and meditation.
9 years of coding experience
Bachelor of Science - BSc, Psychology Neuroscience & Behaviour, Bachelor of Science - BSc, Psychology Neuroscience & Behaviour at McMaster University
Doctor of Philosophy - PhD, Medical Neuroscience, Doctor of Philosophy - PhD, Medical Neuroscience at Dalhousie University
English, Russian