Dominika Basaj
AI engineer and scientist with practical experience in creating and implementing solutions based on artificial intelligence. On a daily basis, she works with companies that want to use AI in their products - she helps them diagnose their needs and translate them into technical requirements. She has experience in managing projects implementing AI in products as the AI Product Owner. Her research interests lie in the area of interpretability of neural networks. As part of her PhD research, she completed research internships at Nanyang Technical University in Singapore and at the University of California at Davis. Right now she is working as Applied Data Science Lead at Synerise.
Sessions
We want to present Cleora – an open-source tool for creating compact representation of the behavior of your client. Cleora uses graph theory to transform streams of event data into embedding. It is suitable as an input for training models like churn, propensity and recommender systems. This is a talk useful for anyone who wishes to learn how to work with event data of clients and how to model client's behavior.