Bert Gollnick
Geschäftsführer at Gollnick Data Solutions
Hamburg, Germany
Summary
👤
Senior🎓
Top SchoolBert Gollnick is a data scientist and founder with nine years of experience translating aeronautics and economics training into measurable gains for the wind industry. After starting his career as an aerodynamicist and site-specific turbine analyst, he moved into machine learning and digitalization at Siemens Gamesa, where he led data-driven initiatives to optimize turbine performance. He now runs Gollnick Data Solutions delivering AI and deep learning training, with hands-on experience implementing ViT, CNNs, YOLO and ELM models in open-source PyTorch projects. Based in Hamburg, he combines domain expertise in renewable energies with practical ML engineering, and his background in both CFD and SCADA analytics gives him an unusually broad view from hardware aerodynamics to production ML systems.
9 years of coding experience
9 years of employment as a software developer
Master of Science (MSc) Volkswirtschaftslehre, Master of Science (MSc) Volkswirtschaftslehre at FernUniversität in HagenDipl-Ing Luft- und Raumfahrttechnik Aeronautik und Astronautik, Dipl-Ing Luft- und Raumfahrttechnik Aeronautik und Astronautik at Technische Universität Berlin
German, English, French, Russian
Github Skills (11)
mask-rcnn10
object-detection10
computer-vision10
pytorch10
machine-learning10
faster-rcnn10
data-science10
vi9
pandas4
scikit4
scikit-learn4
Programming languages (2)
Github contributions (5)
DataScienceHamburg/PyTorchUltimateMaterial
Jun 2022 - Jan 2023
This repo holds material for the Udemy course "PyTorch Ultimate"
Role in this project:
Data Scientist
Data ScientistContributions:21 commits, 4 PRs, 42 pushes in 7 months
Contributions summary:Bert primarily contributed to implementing and experimenting with various machine learning models within the repository, focusing on image and audio classification and object detection tasks. They worked with PyTorch, implementing a Vision Transformer (ViT) for image classification and exploring a Convolutional Neural Network (CNN) for audio classification. Additionally, the user integrated YOLO for object detection and also worked on an Extreme Learning Machine (ELM) model.
pytorchultimatepython
DataScienceHamburg/gollnickdata_web
Oct 2023 - Apr 2025
Contributions:134 pushes, 1 branch in 1 year 5 months
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