Summary
Bartek Skorulski is a Machine Learning Engineer and PhD in Dynamical Systems with 11 years of experience applying ML and deep learning to real-world problems such as NLP, recommender systems, sales forecasting and user behavior prediction. He blends academic rigor—years as a researcher and teacher and collaborations with Polytechnic University of Catalonia, University of Barcelona and Kschool—with hands-on product work including A/B testing, KPI design and leading data teams. Comfortable mentoring and training, he also co-organises the Barcelona Data Science and Machine Learning Meetup, bridging community and industry. His background in dynamical systems informs a principled approach to modeling complex scenarios and experimentation, complemented by nanodegrees in deep learning and reinforcement learning.
11 years of coding experience
Master of Science (MS), Master of Science (MS) at Uniwersytet w Białymstoku
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity
Special Research Trimester on Dynamical Systems, Special Research Trimester on Dynamical Systems at Scuola Normale Superiore
Marie Curie Scholarship, Marie Curie Scholarship at University of Warwick
Warsaw University of Technology
Bachelor's degree, Bachelor's degree at Uniwersytet Warszawski
Russian, Polish, English, Spanish