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Data Scientist bei ZITiS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technical University of Munich
Master of Science (M.Sc.), Robotics, Cognition, Intelligence
January 1, 2014 – January 1, 2017
Hochschule München
Bachelor of Science (B.Sc.), Physikalische Technik
January 1, 2009 – January 1, 2014
Fachoberschule Fürstenfeldbruck
Fachgebundene Hochschulreife, Technik
January 1, 2007 – January 1, 2009
ZITiS
Data Scientist
July 1, 2019 – Present
Greater Munich Metropolitan Area
AUDI AG
Data Scientist
July 1, 2017 – June 1, 2019
Ingolstadt
DLR
Werkstudent
May 1, 2014 – July 1, 2017
DLR
Bachelorand
September 1, 2013 – May 1, 2014
Siemens Corporate Technology
Praktikant
March 1, 2013 – August 1, 2013
Build Basic Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Julia Scientific Programming
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Penetration Testing and Ethical Hacking
Cybrary
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Building Web Applications in Django
Coursera
June 24, 2026 – Present
Specialization Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Web Application Technologies and Django
Coursera
June 24, 2026 – Present
Scraping and Data Mining for Beginners and Pros
Udemy
June 24, 2026 – Present
edX Honor Code Certificate for Introduction to Linux
edX
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Hadoop Platform and Application Framework
Coursera Course Certificates
June 24, 2026 – Present
Build Better Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Apply Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and professional experience in research-oriented and corporate environments (DLR, AUDI AG, ZITiS). The target role of Computer Vision aligns well with their Master's specialization and early career experience. The breadth of certifications, including web application development and Linux, suggests a proactive learning attitude. However, the lack of detailed project descriptions makes it challenging to fully assess their collaborative style or initiative beyond formal roles.
Soft Skills & Operational Fit
The candidate's resume indicates a consistent career path in data science and robotics, suggesting diligence and focus. However, without specific project details or behavioral assessment data, it is difficult to assess soft skills like teamwork, problem-solving, or adaptability. The psychometric test score is not provided, limiting assessment of work attitude and stress handling.