Kristina Kovačević completed her graduate studies in Business Economics, majoring in Business Informatics at the Faculty of Economics in Osijek in 2019. She graduated with a thesis on the application of artificial neural networks in predicting natural gas consumption in public sector buildings in the Republic of Croatia, under the mentorship of Prof. Dr. Sc. Marijana Zekić-Sušac. Since February 2020, she has been employed at the Faculty of Economics in Osijek at the Department of Quantitative Methods and Informatics as an assistant and associate on the research project of the Croatian Science Foundation entitled "Methodological Framework for Efficient Energy Management Using Intelligent Data Analytics". The project proposes a methodological framework based on machine learning methods such as neural networks, decision trees, cluster analysis, association rules and other methods that can be used for intelligent and efficient management of energy consumption, as well as energy supply costs. Since November 2020, she has been a doctoral candidate at the Postgraduate University (PhD) study program in Business Economics in a Digital Environment at the Department of Economics and Business Economics, University of Dubrovnik and the Faculty of Economics, University of Zagreb. She participates in teaching courses at the Department of Quantitative Methods and Informatics.
