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Dariusz Dabrowski, Ph.D. has a wealth of experience in data science and engineering. From 2009 to 2014, they were a Researcher Ph.D. Student at AGH University of Science and Technology, where they conducted research on deep learning methods for complex classification problems. From 2014 to 2017, they were a Postdoctoral Researcher at the Technical University of Denmark, where they applied statistical data analysis and probabilistic methods in their research work. From 2017 to 2019, they were a Project Engineer at DIS A/S - Engineering & Consulting, where they provided technical leadership of the engineering team and was responsible for the technical aspects of projects, quality of deliverables to customers, and tasks planning. From 2019 to 2022, they were a Lead Engineer at Vestas, where they developed models and applied advanced signal processing methods for pattern detection, trend prediction, and statistical analysis. Finally, they are currently a Data Scientist at Ambyint.

Dariusz Dabrowski, Ph.D. has a comprehensive education history. Dariusz obtained a B.Sc. in Mechatronics, Robotics, and Automation Engineering from AGH University of Science and Technology between 2003 and 2006. Dariusz then obtained a Master of Science (MSc) in Computer Methods in Engineering from the same institution between 2006 and 2009. Dariusz followed this up with a Doctor of Philosophy (Ph.D.) in Digital Signal Processing and Vibroacustics from AGH University of Science and Technology between 2009 and 2014. Dariusz then completed a PostDoc at DTU - Technical University of Denmark between 2014 and 2016. In addition, they have obtained several certifications, including a DeepLearning.AI TensorFlow Developer from Coursera in March 2022, a TensorFlow Developer Certificate from the TensorFlow Certificate Program in March 2022, a Deep Learning A-Z\u2122: Hands-On Artificial Neural Networks from Udemy in February 2022, a Machine Learning A-Z\u2122: Hands-On Python & R In Data Science from Udemy in February 2022, and a VIBRATION ANALYSIS: CATEGORY II (ISO 18436-2) from Mobius Institute in January 2021.