Vadim Khusainov

Vadim Khusainov is a seasoned data science professional currently serving as the Lead Data Scientist at UralChem, where responsibilities include developing machine learning models aimed at optimizing fertilizer production. Key projects involve predictive modeling for KCl concentration using Pytorch and price forecasting with Catboost Regressor, alongside creating a risk model for assessing client companies. Previously, Vadim held the position of Lead Data Scientist at Bank ZENIT, where collaboration with product owners was essential for aligning business objectives with actionable tasks. Earlier experience includes leading a data analytics team at The Ural Bank for Reconstruction and Development. Vadim holds a Master's degree in Finance and Credit from Ural Federal University and another Master's in Physics from Ural State University named after A.M. Gorky.