Summary
Anatoly Pavlov is a Data Scientist II based in Portland with a decade of experience applying rigorous physics-trained quantitative methods to real-world problems in finance, fraud detection, and targeted marketing. He combines deep mathematical modeling and production ML pipeline expertise—having built and deployed credit-default and fraud-detection systems at scale for institutional and SaaS customers—with strong data-visualization skills to communicate insights to product and business teams. His background includes PhD-level research in cosmology and scientific simulation, which informs a careful, simulation-driven approach to model evaluation and KPI monitoring. At Vesta and AWS he improved operational robustness of detection systems and implemented rapid rules-based mitigations during attacks, showing an ability to balance ML innovation with pragmatic response engineering. Colleagues benefit from his blend of academic rigor, production deployment experience, and a penchant for extracting surprising signals from messy data.
10 years of coding experience
8 years of employment as a software developer
Galvanize Data Science Immersive, Data Science, Galvanize Data Science Immersive, Data Science at Galvanize - San Francisco, SoMa
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at Saint Petersburg State Polytechnical University
Doctor of Philosophy (Ph.D.), Physics with specialization in cosmology, Doctor of Philosophy (Ph.D.), Physics with specialization in cosmology at Kansas State University
Master’s Degree, Physics with specialization in cosmology, Master’s Degree, Physics with specialization in cosmology at Peter the Great St.Petersburg Polytechnic University
English, Russian