Julian Eustatia

Julian Eustatia is a Data Scientist at KPN, where responsibilities include automating and optimizing business processes through AI capabilities. Previously, Julian participated in the KPN Young Talent Program as a Data Trainee, developing an anomaly detection model and conducting GenAI data analysis. Experience at Philips as a Data Science Intern involved creating recommender systems for healthcare education, improving logistic spend management, and developing operational KPI dashboards. Earlier roles include serving as Secretary of the Board for a student association at L.A.N.X., conducting research on patient data exchange at Amsterdam UMC, and developing a CMS web application at Qompas. Julian holds a Master's degree in Artificial Intelligence from Vrije Universiteit Amsterdam and a Bachelor's degree from the University of Amsterdam.