Dr Maren Westermann
Dr Maren Westermann works as a machine learning engineer at DB Systel GmbH and holds a PhD in environmental science. She is a self taught Pythonista, a member of the documentation and contributor experience team, respectively at the open source machine learning library scikit-learn, and a team member of the open source library Narwhals. She is also a co-organiser of PyLadies Berlin where she mainly hosts open source hack nights.
Session
Construction work in national railroad networks often disrupts train traffic, making it vital to estimate hourly train numbers for effective re-routing. Traditionally managed by humans, this process has been automated due to staff shortages and demographic changes. DB Systel GmbH, Deutsche Bahn's IT provider, leveraged machine learning and artificial intelligence to estimate train traffic during construction. Using Python and frameworks like Pandas, scikit-learn, NumPy, PyTorch and Polars, their solution demonstrated significant benefits in performance and efficiency.