Bio:

Bohdan combines academic theories and practical approaches in the data science area. He is a Data Scientist at SoftServe company and an associate professor (Ph.D.) of Electronics and Computer Technologies Faculty at Lviv National University (Ukraine) and has more than 50 scientific publications. His current scientific interest lies in the area of quantitative linguistics, machine learning, predictive analytics, computer vision, social network mining, business intelligence, time series analytics, numeric modelling, risk assessment, reliability theory, financial modelling. He has practical experience in retail and supply chain analytics, customer’s behavior analytics, fraud detection. In predictive analytics models, he combines machine learning and Bayesian inference that is an effective approach for forecasting and risk assessment in the business processes with non-Gaussian statistics. He works on the state-of-the-art predictive analytics solutions, taking part in Kaggle competitions where he has a Master degree and 3 gold medals for top positions in leaderboards. As a teammate, he won one Kaggle competition (“Grupo Bimbo Inventory Demand”) among nearly two thousand teams where he and his team proposed the best solution for sales forecasting in the chain of nearly 800 thousand stores.