Dennis has a strong foundation in applying data science principles, algorithms, and libraries to process, analyze, and visualize large datasets He is particularly skilled in developing Python-based systems for the automatic analysis and evaluation of Excel workbooks.
He has contributed to various projects, acquiring a wide-ranging expertise:

• Preparing, analyzing, and visualizing Apple Health and driving data to investigate how stress and various vital parameters correlate with factors like driving duration and speed.
• Creating various Python-based systems for the automatic analysis and evaluation of Excel workbooks, as well as recommender systems, accompanied by automated visualization of results.
• Engaging in numerous practice projects related to data science, machine learning, statistics, process mining, and responsible data science.

Dennis supports the team in data analysis and evaluation, taking responsibility for both the visual presentation of data and the analysis and interpretation of results.