Agata Kozina

Dr. Agata Kozina is affiliated with the Department of Process Management at Wrocław University of Economics. Her work focuses on applying machine learning and data science techniques to solve complex business and financial problems. She specializes in areas such as decision support systems, deep learning algorithms, and predictive analytics for industry applications.

Her research interests include optimizing business processes through cognitive technologies, analyzing financial risks using machine learning models, and leveraging AI in decision-making frameworks. Notable projects involve developing predictive models for leasing default analysis, public transportation delays, and food demand forecasting.

Dr. Kozina has contributed to advancements in data transformation techniques for deep learning, including studies on feature encoding methods like One Hot Encoding and the Hashing Trick. Her interdisciplinary work bridges computer science with economics, finance, and business management.