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Balint Fater is an experienced Data Scientist with a strong background in multi-label classification, predictive modeling, reinforcement learning, and time series forecasting, currently working at Ticket Privatresor since November 2019. Prior experience includes roles at Campanja, where advanced predictive modeling was conducted using Bayesian hierarchical models, and at Delta Projects, focusing on machine learning and statistical analysis in Apache Spark. Earlier positions include data management for polar research at the Swedish Polar Research Secretariat and R development at Karolinska Institutet. Balint holds a Bachelor’s Degree in Mathematical Statistics and Probability from Stockholm University and possesses diverse technical skills utilizing AWS, Python, Scala, Docker, and various data visualization tools.