Johannes Getzner

Ausbildung von Johannes Getzner

• Bis heute 3 Jahre und 9 Monate, seit Okt. 2020

  Data Engineering and Analytics

  Technische Universität München

  Grade: 1,94 Research: Over the past decades, Deep Learning models have become increasingly power-hungry, resulting in a large co2 for these models. In this project, I am working on estimating the energy consumption of Neural Networks in an attempt to reduce those emissions. Relevant Modules: - Machine Learning for Graphs and Sequential Data - Natural Language Processing - Computer Vision - Large Scale Machine Learning - Computational Statistics - Introduction to Deep Learning

• 3 Jahre und 4 Monate, Okt. 2016 - Jan. 2020

  Wirtschaftsinformatik

  Technische Universität Wien

  Grade: 2,34 Bachelor Thesis: In "Applying Cox Regression to Construction Machines", I applied different Survival Analysis methods and data layouts, supporting both single and recurrent event models, to predict a construction machine’s failure, based on machine maintenance and sensor data. Relevant Modules: - Statistical Programming - Data Analysis - Software Engineering and Project Management - Statistics and Probability Theory