Data-driven developer turning messy, raw data into clean pipelines, sharp models and elegant systems. MSc in Informatics from the University of Zurich (Software Systems + Data Science), currently doing Data Engineering & Analytics at Migros.
I like the whole path from raw bytes to something people actually use — data architecture, ML feature engineering, and building the systems around them. In three words: curious, reliable, solution-oriented.
class NicolasHuber:
role = "Data-driven Developer"
company = "Migros-Genossenschafts-Bund"
education = "MSc Informatics · UZH"
focus = ["Data Engineering", "Machine Learning", "Data Viz", "IoT & Cybersec"]
drive = "modern, efficient, data-driven systems"- 🧪 Data Engineering & Analytics @ Migros — dbt pipelines, ML feature engineering for price & promotion optimisation, systems on Kubernetes/OpenShift.
- 🎓 Fresh MSc in Informatics (UZH) — thesis on an AI-assisted, gamified system for labeling UN Sustainable Development Goals in scientific research.
- 📄 Contributor to an IEEE publication on Moving Target Defense for IoT.
Languages
Data & ML
Web & Frameworks
Infra & Ops
| Project | What it is |
|---|---|
| sdg-tag-heroes | Interactive, gamified web system for AI-assisted SDG labeling of scientific publications — master's thesis (6.0). Vue D3 FastAPI LLM |
| MTDStrategySelectionAgent | Moving Target Defense agent picking optimal defenses for resource-constrained IoT devices — bachelor's thesis (5.5), IEEE paper. Python RL |
| gaia-classifier | ML classifier for Gaia space-observation data — a perfect 1.0 Kaggle score. scikit-learn |
| dsml-hub | Containerized full-stack DS/ML platform: FastAPI, MariaDB, MongoDB & Qdrant. Docker FastAPI |
| design-patterns-cheatsheet | Compact reference for the classic GoF design patterns. Architecture |
Turning raw data into elegant systems — with a bit of alchemy.