Katja Berlin is an accomplished experimental physicist with a passion for applied consulting and data science. Holding a PhD and an M.Sc. in Physics from Humboldt-Universität zu Berlin, as well as a Study Abroad degree from the University of Technology, Sydney, Berlin has an impressive educational background. She is particularly skilled in Python, scikit-learn, pandas, numpy, SQL, and Matlab, which she applies to her work as a Data Scientist at Grammarly.

Berlin's professional journey started as a student job holder while studying physics at Humboldt-Universität zu Berlin. After graduation, she interned at BASF and McKinsey & Company, where she was an Associate Intern. She then worked at Paul Drude Institut für Festkörperelektronik as a Graduate Student Researcher before becoming a Material Science Researcher.

Berlin also gained experience outside the field of science, working as a Business Strategy Consultant and Project Manager at Company Consulting Team and a Backoffice Intern at CORA-IT GmbH. Berlin's diverse experiences and expertise have made her an exceptional team player and communicator, capable of working with peers of different backgrounds.

Overall, Berlin's experience in data science, physics, and business consulting provides her with valuable insights into finding solutions for various issues. Her eagerness to tackle new challenges makes her a valuable asset to any team looking for a creative problem solver.