🎯 Machine Learning & Data Scientist | IT Operations Manager
Welcome to my GitHub profile! I'm Johannes, a detail-oriented data scientist with a strong background in computer science, machine learning, and data analytics. I focus on developing practical, data-driven solutions for real-world problems across a range of domains. Here you will find my work on projects related to image processing, climate data, machine learning, and system optimization.
- Collaboration with: Danish Meteorological Institute
- Tech Stack: Python, ML, Data Preprocessing
- Description: Developed a machine learning solution for climate data quality control, helping improve predictive modeling and long-term planning. This project emphasizes my ability to work with large datasets and apply machine learning to environmental challenges.
- Tech Stack: Python, U-Net, Satellite Imagery
- Description: Developed a U-Net model for high-resolution satellite image segmentation, focused on Greenland's coastline. The insights gained from this work support precise mapping for decision-making in geospatial contexts.
- Tech Stack: Python, LinearSVC, CNN, GloVe
- Description: Designed a pipeline using machine learning techniques to distinguish between real and fake news articles. This project showcased my skills in text classification and model evaluation across diverse datasets.
- Tech Stack: C, OpenMP, CUDA
- Description: Built an MLP (Multi-Layer Perceptron) from scratch in C, utilizing OpenMP for parallelization and CUDA for GPU acceleration. Optimized neural network training performance, focusing on high-efficiency computation.
- Tech Stack: Python, Tableau
- Description: Designed dashboards for trending outage data and improved data quality through Python-based analysis. Enhanced visibility and analytics for production workflows.
- Tech Stack: System Monitoring, SCOM, SquaredUp
- Description: Led the setup of monitoring solutions for critical infrastructure, integrating system diagnostics with performance metrics to ensure seamless operation.
- Programming Languages: Python, R, SQL, C
- Machine Learning Tools: PyTorch, TensorFlow, JAX
- Data Analytics & Visualization: Matplotlib, Seaborn
- Systems & Tools: UNIX, Git, CUDA, OpenMP, Virtual Environments
Aug 2021 — Feb 2023
Instructed courses on statistics, data science, and theory of science. Helped students with programming assignments and contributed to course development.
Feb 2020 — Jul 2021
Mentored high school students in mathematics and other subjects, guiding them through academic challenges.
University of Copenhagen (Sep 2019 — Aug 2023)
- Specialized in deep learning, climate data quality control, medical image analysis, and satellite image segmentation.
- Notable Projects: Fake news detection, climate data quality control, satellite segmentation, medical image diagnosis.
🧑💻 “Every line of code is a step toward solving the unsolvable.”
Let’s collaborate on innovative solutions!