Severin Schmitt
Severin is a Senior Data Scientist at Deutsche Post DHL Group, leading the forecasting tech team, main
developer of DPDHL’s forecasting library and holds a PhD in mechanical engineering. He is passionate
about combining Data Science and Software Engineering for long lasting and maintainable machine
learning projects; he loves guiding the scoping of new projects as well as the change management
processes necessary to bring small and big solutions to life; he is curious about timeseries forecasting
and constantly looking for interesting discussions.
Session
Everybody knows our yellow vans, trucks and planes around the world. But do you know how data
drives our business and how we leverage algorithms and technology in our core operations? We will
share some “behind the scenes” insights on Deutsche Post DHL Group’s journey towards a Data-Driven
Company.
• Large-Scale Use Cases: Challenging and high impact Use Cases in all major areas of logistics,
including Computer Vision and NLP
• Fancy Algorithms: Deep-Neural Networks, TSP Solvers and the standard toolkit of a Data
Scientist
• Modern Tooling: Cloud Platforms, Kubernetes , Kubeflow, Auto ML
• No rusty working mode: small, self-organized, agile project teams, combining state of the art
Machine Learning with MLOps best practices
• A young, motivated and international team – German skills are only “nice to have”
But we have more to offer than slides filled with buzzwords. We will demonstrate our passion for our
work, deep dive into our largest use cases that impact your everyday life and share our approach for a
timeseries forecasting library - combining data science, software engineering and technology for
efficient and easy to maintain machine learning projects..