Aachen, North Rhine-Westphalia, Germany
I’m an M.Sc. Data Science student at RWTH Aachen, with a strong background in Mathematics. I’ve worked with time-series data and AutoML frameworks in the energy sector. During my time at Porsche, I worked on root-cause analysis for fault detection and focused on predictive modelling. Currently working with LLMs for semantic data integration as part of my thesis.
- Contributed to the analysis of vehicle-related telemetry and fleet data to derive technical correlations and usage patterns. - Supported data-based examinations of vehicle components as part of quality assurance and root-cause analysis. - Supported the analysis of system behaviour and further development of machine-learning methods, particularly for time-series data. - Assisted in researching new methods for automated machine learning and in enhancing AI-supported analysis tools.
Assisted in building ADDMo, an end-to-end AutoML pipeline, using TensorFlow/Keras, integrating data tuning, model tuning, serialization, and visualization for time-series data. Additionally, created standardized time-series visualization modules and GUI using Matplotlib and Streamlit for the same project.
Assisting with the course Elements of Machine Learning and Data Science.