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Karol Radziszewski is a Senior Data Scientist at Ringier Axel Springer Polska, where Karol works on optimizing advertising space and experimenting with LLM models such as CharGPT. Prior to their current role, Karol was a Data Scientist at ING, where Karol developed a machine learning model for spam filtering and contributed to a general library for ML model inference. Before that, Karol worked as a T24 Temenos Consultant at Deloitte, creating scripts for bank account management using tools like basic, JAVA, GIT, JIRA, and SCRUM. Karol also has experience as a Junior Data Scientist at ING and as an intern in the analytics team at Bank Millennium. Karol holds a Master's degree in Technical Physics and a Bachelor's degree in Physics from Warsaw University of Technology.