Case Study
Tuesday, March 11
09:20 AM - 09:45 AM
Live in Munich
Less Details
Big companies have several customer facing brands, with different application, various goods and diverse UXs. This makes testing at scale really challenging. To get reliable and trustworthy outcomes, a dedicated and tailored platform solution seems to be the answer. But how does this realy work?
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Dr. Andreas Merentitis received the BSc, MSc, and PhD degrees from the Department of Informatics and Telecommunications, National Kapodistrian University of Athens (NKUA) in 2003, 2005, and 2010 respectively. He holds an award from the Greek Mathematical Society and received a scholarship as one of the two highest performing students in his year. Dr. Merentitis has participated in numerous European funded projects, as (sub-)workpackage leader of key activities. Between 2011-2015 he was Senior Data Scientist at AGT International. Between 2015-2017 he worked as Senior Data Scientist and Senior Research Scientist at Zalando SE. Since 2017 he is with OLX, first as Head of Data Science, then Director of Data Science and currently as Chief Data Officer Europe. He has more than 30 publications in the thematic area of machine learning, with more than 600 combined citations. He was awarded an IEEE Certificate of Appreciation as a core member of the team that won the first place in the “Best Classification Challenge” of the 2013 IEEE GRSS Data Fusion Contest. He is a Senior Member of the IEEE and the IEEE Signal Processing Societies. He is a prize winner and has a master ranking in Kaggle.