Alexander is an experienced Data Scientist for classification and NLP algorithms at Allianz. He creates models for data-driven processes and focuses on a holistic view of data science as an efficient helper for businesses. With his understanding of business processes, he can articulate their challenges and translate them into valuable data products. Prior to his work, he studied at Humboldt University in Berlin.
The Pop in my Job:
Seeing a number at the end of the day saying how much value I created with my model or how much money is saved, is both satisfying and motivating to me. It shows that you can really make a difference with Machine Learning. And I think we are just at the beginning of what will be possible in the future. So many things I do every day have never been done before in my company and I always have to find a way for my ideas to work out. That’s challenging but also rewarding. And all that, of course, only works if you are part of a great team.