Jaroslav Bezděk

Jaroslav Bezděk is a machine learning engineer and hockey data analyst whose work combines statistical expertise with practical data and software development. With a master’s degree in Statistics and experience across technology agencies and product companies, he has delivered machine learning and analytics projects in areas including automotive, sleep analysis, emotion detection, content moderation, and text classification. Since 2025, he has focused on hockey analytics, contributing to player development tools at GRAET and supporting scouting and player performance evaluation at HC Sparta Prague.

His work includes producing insights for hockey operations and coaching staff, developing player rankings and progression models, and building data infrastructure and analytical reports. He works primarily with Python and SQL, along with cloud platforms such as AWS and Azure. His portfolio also features Frozen Facts Center, a hockey analytics website presenting standings, scores, fixtures, and player statistics, supported by automated data processing. Through his projects and articles, Bezděk shares hockey analyses, explores player performance, and documents his development in the field.