Valery Kasymov

Valery Kasymov is a skilled data scientist with significant experience in predictive modeling and machine learning, currently employed at Severstal since December 2022, where Valery developed a model for predicting erroneous production behavior in steelmaking and optimized a control system for compressor stations, earning recognition at the CIPR-2024 conference. Previously, Valery worked at Yandex as a computer science consultant, enhancing the relevance of IT search results through quality assessment of internet resources, and at Schlumberger as a machine learning researcher, focusing on high-frequency acoustic signal processing and developing neural network approaches for sand production localization. Valery holds a bachelor's degree in Mathematics and Physics and a master's degree in Computational Physics from the Moscow Institute of Physics and Technology, along with scientific practice in Fluid Dynamics at JSC «TsNIIMash».