Sebastian Birk is an Advanced Analytics manager based in Munich with 8 years of experience building cloud-native data platforms and ML solutions across automotive, supply chain and finance industries. At Avanade he has led end-to-end projects—IoT computer-vision for assembly anomaly detection, large-scale PySpark simulation engines in Azure Databricks, and explainable XGBoost financial models—while scaling platform capabilities for enterprise clients. Concurrently pursuing a PhD in AI for Health at Helmholtz Munich, he applies graph ML and transformer-based sequence modeling to single-cell and host–pathogen data, bridging production-grade engineering with cutting-edge computational biology. He combines strong business training (top honors from ESADE and Tübingen) with hands-on cloud expertise (Azure, IoT Hub, Cosmos DB) to translate research insights into deployable diagnostics and operational tools. Notably, he has driven public-facing success stories that reduced logistics costs and operational risk, showing an uncommon ability to take complex analytics from prototype to measurable impact.
8 years of coding experience
Bachelor of Science, International Business Administration (210 ETCS), GPA of 1.1 (scale 1.0 - 5.0); best graduate of the year, Bachelor of Science, International Business Administration (210 ETCS), GPA of 1.1 (scale 1.0 - 5.0); best graduate of the year at University of Tübingen
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Technical University of Munich
Exchange Semester, International Business Administration, GPA of 4 (99th percentile), Exchange Semester, International Business Administration, GPA of 4 (99th percentile) at Temple University - Fox School of Business and Management
High School, Major subjects: Economics, Physics, Mathematics, English, German, GPA of 1.3 (top 5% percentile), High School, Major subjects: Economics, Physics, Mathematics, English, German, GPA of 1.3 (top 5% percentile) at Friedrich-Schiller-Gymnasium Pfullingen
Master of Science, Business Analytics, GPA of 9.59/10; best graduate of the year, Master of Science, Business Analytics, GPA of 9.59/10; best graduate of the year at ESADE Business & Law School
This repository contains an end-to-end implementation of a multi-class image classification model. The model is trained with PyTorch on Azure ML, leveraging Azure ML's MLOps capabilities.
Contributions:361 commits, 14 PRs, 226 pushes in 1 year 8 months
pytorchend-to-endleveragingdeep-learningazure-ml
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