Denis Fragkakis

Topic: "Data Processing for Reinforcement Learning: Advantages and Future"

Denis is a multidisciplined data scientist with extensive experience across different sectors, including finance, advertising, telco and real estate. Passionate about bridging the gap between business and analytics, Denis transforms current analytics capabilities by introducing the latest in machine learning technologies and methodologies. Denis has an academic background in physics holding an MSc in Astrophysics and a PhD in Theoretical Physics.