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Nassim Walha is a Master Thesis Student at Huawei since November 2023, following a role as an AI and Analytics Working Student at BayWa AG from March 2023 to November 2023, where contributions included implementing an internal analytics MVP solution and developing a self-sufficient ML pipeline on Azure. Previous experience includes a Data Science Working Student position at msg life ag, focusing on life insurance data analysis and the development of a deep learning pipeline, as well as a Data Science Internship that involved implementing ML models and building deep neural networks using TensorFlow. Nassim also served as a Mathematics Pre-course Tutor at the Technical University of Munich. Educational qualifications include a Master of Science in Mathematics in Data Science from the Technical University of Munich, an exchange term in Data Science at Université de Montréal, and a Bachelor of Science in Mathematics with a minor in Computer Science from the Technical University of Munich.