Hanna Danilovich
Hanna Danilovich is a Data Scientist in the R&D team at Revolut. She has extensive experience in data science, machine learning, and AI, with a background spanning insurance, banking, and fintech. At Revolut, Hanna focuses on advancing AI applications in financial services, enhancing risk assessment, decision-making, and driving innovation in areas like marketing and customer insights. She holds Master’s degrees in Econometrics and Informatics, as well as Finance and Banking, along with postgraduate studies in Deep Learning.
Session
Financial transactions generate vast amounts of sequential data, yet traditional risk assessment models often rely on predefined features that may not capture the full complexity of user behavior. This talk explores how transaction embeddings—inspired by techniques from NLP and Computer Vision—can transform financial modeling.