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Daniel Szabo has a background in Electrical and Electronics Engineering, with a Master of Science and Bachelor of Science from Budapest University of Technology and Economics. Daniel has held various roles in different companies, such as Lead Data Scientist at OrthoPred and Utopus Insights, Senior Data Scientist at GE Healthcare, and Product Developer at Sybrillo. Throughout their career, Daniel has shown strong leadership skills, technical knowledge, and a collaborative approach in developing end-to-end ML solutions for predictive maintenance in the renewable industry and medical product development. Daniel has experience in time series analysis, anomaly detection, event prediction, and has worked with technologies such as AWS, Databricks, and various programming languages.