this /static/media/twitter/TDLMHQ.png is Germany's largest online vehicle marketplace. Under the hood, there's much more data products and machine learning solutions that one could imagine when thinking about an online classifieds platform. In this talk, we will present the main decision-making checkpoints in the car buying and selling scenarios, and which are's data products that support users in their journey. Your talk will present an overview of all data topics and provide a deeper look on a few of them.

Ricardo Kawase


Dr. Ricardo Kawase leads a team of Data Scientists and Engineers GmbH/Adevinta, the leading online automotive marketplace in Germany. His team is responsible for topics such fraud fighting/prevention, price prediction, user profiling, customer behavior prediction and personalization. He holds a Ph.D in Computer Science (Doctor rerum naturalium, Dr. rer. nat.) from the Gottfried Wilhelm Leibniz Universität Hannover, Germany. Before joining he worked as a researcher for over 7 years at the L3S Research center in Hannover on several topics such as data mining, information retrieval, semantic web, e-learning, social networks, crowdsourcing and Web science in general. He has written, collaborated, and published over 60 peer reviewed academic articles, and serves as a reviewer in several conferences and journals.

Marlene Hense


Marlene Hense is a Data Scientists at GmbH/Adevinta, the leading online automotive marketplace in Germany. She currently works in a team responsible for topics around user and i.p. user search experience. (She holds a Ph.D in Cognitive Neuroscience from Universität of Hamburg, Germany.