Kate Hofmann is a Senior Data Engineer at Trimble Inc., specializing in data lake management and process optimization since March 2023. Previously, as a Senior Data Scientist at Transporeon and Tracks GmbH, Kate focused on predictive machine learning models, database pipeline architectures, and cloud infrastructure management. Kate's experience includes roles as an IT consultant in Machine Learning at HELLA Ventures, where systems for damage detection in automotive applications were developed, and as a Software Engineer at the Hasso Plattner Institute. Academic credentials include a Master of Science in Cognitive Science from the University of Ljubljana and University of Vienna, and a Bachelor of Science in Mathematics and Computer Science from the University of Ljubljana.
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