Boštjan Kaluža, PhD, is the Chief Data Scientist at Evolven, a leading IT Operations Analytics company focusing on configuration and change management. He works with machine learning, predictive analytics, pattern mining, and anomaly detection to turn data into understandable, relevant information, and actionable insight.

Prior to Evolven, Boštjan served as a senior researcher in the Department of Intelligent Systems at the Jozef Stefan Institute, a leading Slovenian scientific research institution, and led research projects involving pattern and anomaly detection, ubiquitous computing, and multiagent systems. He was also a visiting researcher at the University of Southern California, where he studied suspicious and anomalous agent behavior in the context of security applications. Boštjan has extensive experience in Java and Python, and lectures on Weka in the classroom.

Focusing on machine learning and data science, Boštjan has published numerous articles in professional journals, delivered conference papers, and authored or contributed to a number of patents. In 2013, Boštjan published his first book on data science, Instant Weka How-to, Packt Publishing, exploring how to leverage machine learning using Weka.