Alexandra Wörner is a data scientist at scieneers GmbH, where she supports project teams in industry and the non-profit sector in implementing their visions around data and machine learning. Past and current projects cover a wide range of topics, including recommender systems, time series modeling, customer analytics and engagement, and topic modeling. Given her strong computer science background, Alexandra's natural interest in data, algorithms, and tools is accompanied by a curiosity about how software engineering practices can be applied to data science tasks with the intent to improve and facilitate the process from experimentation to production.