About

I'm glad that I can introduce myself to you. Feel free to contact me via LinkedIn or Mail if you have any unanswered questions. I am always interested in meeting new people to stay in contact and share expertise and experiences - or just talk about the rocket science of tomorrow ;-)

Email: wagner-tobias@outlook.de

Profile

I'm an engineer in electronics and information technologies. Currently i am working as a data scientist in the R&D department at Dürr Systems AG, a market leader in painting systems and painting robot development.
Primary im working on image classification and object detection using machine learning and deep learning driven approaches as well as predictive maintenance applications.

Experience

Data Scientist for predictive maintenance & IIoT
Dürr Systems AG

Germany - Baden-Wuerttemberg - Bietigheim-Bissingen

10|2022 - Present

PhD candidate
Bosch-Rexroth AG

Germany - Bavaria - Lohr a.M. and Ulm

10|2019 - 9|2022

Scientific employee
University of Applied Sciences Fulda

Germany - Hesse - Fulda

03|2018 - 04|2019

Electronics technician (apprentice)
JUMO GmbH&Co.KG

Germany - Hesse - Fulda

08|2011 - 02|2014

Education

PhD program, Dr. rer. nat.
Doctoral center for applied computer science, HAW Fulda
Grade: magna cum laude (1)

Germany - Hesse - Fulda

02|2020 - 04|2023

Master Degree in electronics and information technology
University of Applied Sciences Fulda
Grade: 1.2

Germany - Hesse - Fulda

04|2018 - 09|2019

Bachelor of Engineering in electronics and information technology
University of Applied Sciences Fulda
Grade: 1.4

Germany - Hesse - Fulda

10|2014 - 03|2018

Honors

Dr.-Norbert-Schmidt foundation award
For the best doctoral thesis academic year 2023.

Germany - Hesse - Fulda

Friedrich-Dessauer-Preis
For the best master thesis of the academic year 2019.
Awarded by the VDE-Bezirksverein Rhein-Main e.V.

Germany - Hesse - Fulda

Skills (I)

Software development


Python

Tensorflow/Keras

sklearn

TFRecords

opencv

numpy/pandas

matplotlib/pyqt

HTML/CSS/JS

Skills (II)

Theoretical knowledge


Machine learning

Deep learning

Classification problems

Regression problems

Time series analysis

Feature extraction

Object detection

Image segmentation

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