Alexey Pankov is a founder and seasoned data scientist with 11 years of experience applying machine learning to business and scientific problems across fintech, marketing, energy, and healthcare. He blends deep academic training (PhD in Physics) with hands-on production work—designing ETL and Spark pipelines, hybrid recommender systems, anomaly detection, and probabilistic models—to turn noisy real-world data into automated decision systems. As a blockchain technologist and founder of a crypto start-up, he pairs ML expertise with practical experience in token projects and decentralized tech. His background ranges from signal processing research in Lake Baikal to NASDAQ portfolio optimization and gambler retention modeling, revealing a knack for translating complex modeling into domain-specific impact. Based in Melbourne, he is as comfortable coordinating contractors and advising ASX-listed firms as he is prototyping novel ML solutions.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Irkutsk State University
Engineer Applied Mathematics, Engineer Applied Mathematics at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
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