Simon Ignat

Simon Ignat is currently a Staff Data Scientist at Spotify in the User Fraud team, where they leverage their extensive background in technology and data analysis. With a Master's degree in Electrical Engineering from Kungliga Tekniska Högskolan, Simon has experience in various roles, including Associate Data Scientist and Data Scientist at Spotify, as well as internships at Ericsson and Scania. Notably, their master's thesis focused on deep reinforcement learning, exploring advanced algorithms such as DQN and PPO. Simon's work spans a diverse array of projects, showcasing their adaptability and proficiency in languages like Python, Java, and frameworks utilized in data analytics.