About Me.

Personal summary

Hi! I am an enthusiastic data scientist with a keen interest in Natural Language Processing. My journey towards the field of data science started when I pursued my undergraduate degree in “Mathematics in Business and Economics”, where I developed a fascination for Machine Learning and its intricacies. To further pursue my passion, I pursued a master’s degree in “Data Science” from the University of Mannheim. During my studies, I had the opportunity to work as a working student at SAP and as a research assistant under the guidance of Prof. Dr. Glavaš at the NLP Chair at the University of Mannheim. Currently, I am working as a Data Scientist in the field of Autonomous Driving at Bosch, where I am able to apply my skills and knowledge to tackle real-world challenges.

Education

Employment

In this role I develop algorithms and models for innovative data-driven services in the area of automated driving.

In this role I was scraping political speeches from European Parliaments with Scrapy. I then conducted cross-lingual scaling of political texts with a sentence embedding transformer and BERTScore.

In this role I created and patented a tool enabling data augmentation used for Deep Learning approaches to extract information from unstructured business documents. Finally, I supported in integrating this tool in a novel template approach for document information extraction.

In this role I conducted delay forecasts of trains on heavily used rail routes. I used SQL for data preparation and used Python to train machine learning models.

In this role I created new learning materials and presented it weekly to math students.

Projects

See the Project Site here.

References

Available on request.