Fabio Gruschka

Fabio Gruschka began their work experience in 2016 as a (Working Student) Data & Analytics at Interhyp Gruppe. Fabio worked in this role until 2019 when they transitioned to become a (Working Student) Data Scientist at the same company. In 2021, Fabio Gruschka briefly worked as a Data Scientist at HEUSSEN Rechtsanwaltsgesellschaft mbH. Currently, they are working as a Data Engineer at Bilthouse GmbH, a position they have held since April 2022. Additionally, Fabio Gruschka is also a Research Assistant in the Department of Mathematics and Computer Science at Philipps-Universität Marburg, starting in December 2022.

Fabio Gruschka pursued their education in the field of Data Science. From 2017 to 2022, they attended The Philipp University of Marburg. Prior to that, they studied Statistics at Ludwig-Maximilians-Universität München from 2015 to 2017. In addition, they have obtained several certifications, including "Natural Language Processing with Probabilistic Models" from DeepLearning.AI in June 2023, "Introduction to Front-End Development" from Meta in May 2023, "Natural Language Processing with Classification and Vector Spaces" from DeepLearning.AI in May 2023, "Programming with Javascript" from Meta in May 2023, "Cyber Attack Countermeasures" from New York University in April 2023, "Enterprise and Infrastructure Security" from New York University in April 2023, "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from DeepLearning.AI in April 2023, "Introduction to Cyber Attacks" from New York University in April 2023, "Introduction to Cyber Security" from New York University in April 2023, "Linear Algebra for Machine Learning and Data Science" from DeepLearning.AI in April 2023, "Real-Time Cyber Threat Detection and Mitigation" from New York University in April 2023, "Structuring Machine Learning Projects" from DeepLearning.AI in April 2023, "Neural Networks and Deep Learning" from DeepLearning.AI in March 2023, and "Natural Language Processing with Attention Models" from DeepLearning.AI back in May 1994.