At IAV GmbH, I developed a vehicle anomaly-detection system that generates scores to flag early warning signals of faults, defects, and security incidents weeks to months before occurrence. I also built Python and Java reporting solutions for Volkswagen Group root cause analysis of vehicle signal errors and field-data issues.
At Volkswagen Financial Services AG, I model loss given default (LGD) credit risk parameters and prepare and validate modelling datasets, contributing to IFRS scenario work. Earlier, I built an LGD loss database and SQL/SAS Enterprise Guide validation workflows.
My academic work includes news relation extraction using CNN and BERT approaches, time-series forecasting, and multimodal transcription. I’m completing an M.Sc. in Applied Artificial Intelligence, building on a B.Sc. in Applied Mathematics.
