Vanessa Przybylo is a Data Science Manager with eight years of experience applying machine learning and generative AI to the utility and atmospheric science domains. At National Grid she has led teams, scaled an enterprise chatbot to 12,000+ users, and advised on build-vs-buy AI decisions while translating complex data into business-facing insights. Her background includes PhD-level research in atmospheric sciences, where she automated classification of decades of airborne ice crystal imagery at 97% accuracy and built simulation tools used by scientists. Vanessa blends rigorous research, production-grade software engineering, and product sensibility—often prototyping novel solutions that move from lab to operations. Colleagues know her for mentoring technical teams and “mostly breaking things” in service of learning and robust tool development.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.A.Sc.), Atmospheric Sciences and Meteorology, Bachelor of Science (B.A.Sc.), Atmospheric Sciences and Meteorology at Plymouth State University
Queensbury High School
Doctor of Philosophy - Ph.D, Atmospheric Sciences and Meteorology, Doctor of Philosophy - Ph.D, Atmospheric Sciences and Meteorology at University at Albany, SUNY
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