inigo.azqueta@gmail.com
Education
M. Sc. Robotics, Cognition and Artificial Intelligence, Technical University of Munich: 2015-2019
M. Sc. Robotics, Cognition and Artificial Intelligence, Nanyang Technological University of Singapore: Summer Semester 2017
B.Sc. Mechanical Engineering, University of Duisburg-Essen: 2010-2015
Work experience
Product Owner, Schwarz IT: Dec. 2022 - April 2024
Data Science Consultant, Data Technology Betriebsberatungs GmbH: July 2020 - Dec. 2022
Working student, Institute of Robotics and Mechatronics, German Aerospace Center (DLR) Wessling: July 2018 - Aug. 2019
Research Assistant, School of Computing Science, University of Glasgow: Oct 2016 - Jan. 2017
Research Assistant, Dpt. of Rehabilitation, University Hospital LMU, Munich: Apr. - July 2014, Oct. - Dec. 2015, July - Oct. 2015
Intern, HKM GmbH, Duisburg: March - May 2013
Working student, Cetecom GmbH, Essen: Feb. 2011 - Dec. 2011
Papers and conferences
Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks: ArXiv, Cornwell University
Developing a real state yield investment device using granular data and machine learning: ArXiv, Cornwell University
Automatic Braking System and Fall Detection Mechanism for Rollators, Proceedings: 2017 6th International Conference on Bioinformatics and Biomedical Science (ICBBS 2017) , Singapore
Support Vector Machines and Variability of Spatio- Temporal Gait Parameters for Recognition of Parkinson Gait, Proceedings: 2017 6th International Conference on Bioinformatics and Biomedical Science (ICBBS 2017) , Singapore
Awards
Best Presentation, 2017 6th International Conference on Bioinformatics and Biomedical Science (ICBBS 2017) , Singapore
Languages
Spanish (mother tongue); English (full professional); German (full professional)
IT Knowledge
Python, R, SQL, C++, Matlab, TensorFlow, Keras.
Cloud Knowledge
AWS, Microsoft Azure
Project Management Knowledge
SCRUM, Kanban