Mathias Eisner

Mathias Eisner is currently employed as a Data Scientist at smaXtec since February 2023, where the focus is on latent signal identification and classification using 3D accelerometer timeseries data as part of a master thesis in Data Science. Eisner has experience as a Developer at Technische Universität Graz from April 2021 to December 2023, responsible for developing a multi-device, platform-based Content-Management-System for laboratory test data. Prior roles include Student Trainee in Strength and Thermal Simulation at AVL, where Python and Matlab scripts were created and maintained, and roles in event management and surf instruction. Eisner has completed multiple internships in steel production and quality inspection with various companies. Academic qualifications include a Diplom-Ingenieur (DI) / MSc. in Biomedical Engineering, and a B.Sc. in the same field, both from Technische Universität Graz.