Fabrizio Damicelli
I’m Fabrizio 🧉, PhD in Computational Neuroscience 🎓, now a Data Scientist 💻 in Hamburg (Germany). I work on fraud detection 🕵🏽 using neural networks and large datasets at one of the top e-commerce platforms in Europe.
As an open source advocate, I have contributed to a few projects and created a couple of Python packages that I maintain 🤓. Beyond that, I am generally interested in topics around 🐍 Python, 🤖 Machine Learning, 📊 Data Science, Computational modeling, 🚀 Scientific computing and the application of data-driven solutions to make people’s life better.
Session
Kubeflow is a platform for building and deploying portable and scalable machine learning (ML) workflows using containers on Kubernetes-based systems.
We will code together a simple Kubeflow pipeline, show how to test it locally. As a bonus, we will explore one solution to avoid dependency hell using the modern dependency management tool uv.