Thorsten Kranz
With a background in Physics and Neuroscience Research Thorsten has been working as a Data Scientist
for many industries. He is driving DPDHL’s efforts of increasing the efficiency for building productionquality, large scale Data Science solutions for the business together with his team. While working as a
Manager for many years now he has remained a nerd at heart – with a passion for data, algorithms and
Software Development in Python.
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..