Sándor is both a data scientist at Dmlab, one of the leading data analysis firms in Hungary, and a lecturer at Budapest University of Technology and Economics where he also graduated in 2012 with a strong mathematical background and an interest in data-related technologies. For over 4 years now he has been working in the field of data analysis and connected areas as machine learning and statistics, and all kinds of technology infrastructure related to big data. As a data scientist he prefers to work with Python but still tends to use graphical tools like Rapidminer mostly for teaching data science. He considers himself a Hadoop and Spark enthusiast with some years of related experience.
