Summary
Mikhail Churakov is a Data Scientist with a decade of experience bridging academic research and production ML, currently working at BNP Paribas Cardif in Paris. He holds an M.Sc. in Computer Science and a Ph.D. in Applied Statistics, and has translated epidemiological and agricultural research into deployed models and actionable insights. His background includes postdoctoral work at Institut Pasteur and SLU, where he analyzed spatio-temporal disease dynamics and sensor data to predict biological states. In industry he improved claim automation and upgraded fraud-detection services, delivering measurable gains such as a 10% increase in automation and more stable, efficient ML pipelines. Comfortable across Python, PyTorch, AWS and production monitoring stacks, he combines rigorous statistical thinking with practical engineering discipline. Notably, he often uncovers edge cases from domain data—turning research-grade analyses into robust, production-ready solutions.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.Sc.), Applied Mathematics and Computer Science, 4.6/5.0, Bachelor of Science (B.Sc.), Applied Mathematics and Computer Science, 4.6/5.0 at Saint-Petersburg State University Information Technologies, Mechanic and Optics (University ITMO)
Doctor of Philosophy - PhD, Veterinary Animal Production and Public Health, Doctor of Philosophy - PhD, Veterinary Animal Production and Public Health at The University of Glasgow
Russian, English, French