Ekin Tiras
Ekin Tiras is a Senior Software Developer at SAP, specialising in observability and designing automated telemetry analysis systems with machine learning. With a focus on improving observability solutions, Ekin designs and implements models to drive more insightful analytics. Previously, he worked at a major German public broadcaster, where he contributed to a platform that leverages machine learning to extract and categorize metadata from video files. His professional work and personal interest in anomaly detection have also led him to become a maintainer of the open-source library PyNomaly in his spare time.
Sessions
PyNomaly's Local Outlier Probability (LoOP) implementation provides interpretable and reliable detection capabilities for classical anomaly types in Python for both static and streaming data.