Summary
Daniil Konstantinov is a Senior Data Scientist with eight years of experience applying advanced machine learning and numerical methods to real-world problems across finance, research, and industry. He has built production-grade models from HFT strategies to one-year, high-resolution drought forecasts for insurers, and researched physics-informed neural networks and numerical ODE solvers at Huawei and Skolkovo. Comfortable leading small teams, Daniil blends rigorous applied mathematics (MSc from MIPT) with hands-on engineering to ship robust, high-performance solutions under NDA-driven constraints. Based in Limassol, he pairs academic depth with practical delivery, often tackling problems at the intersection of ML, numerical analysis, and domain-specific modeling.
8 years of coding experience
3 years of employment as a software developer
Mathematics and Data Science courses, Mathematics and Data Science courses at Beihang University
Master's degree, Applied Mathematics and Computer Science, 4.81 / 5.00, Master's degree, Applied Mathematics and Computer Science, 4.81 / 5.00 at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Data Science, 4.66 / 5.00, Data Science, 4.66 / 5.00 at AI Masters (ex. Ozon Masters)
Russian, English, Ukrainian, Greek