Applied mathematician turned data scientist, based in Berlin. I build ML systems and data pipelines — mostly in Python, occasionally with a lot of math involved.
- 📊 Statistical learning — Bayesian inference, survival analysis, shrinkage methods
- ⚛️ Quantum systems — my PhD was on light-matter interaction in quantum networks (yes, with Python)
- 🔗 Causal inference — currently my main rabbit hole
- 🧪 Drug discovery pipelines — what I spent two years building at a pharma spin-off
- Implementing methods from Statistical Inference
- Adding my PhD simulation code to GitHub
- Learning DoWhy and DAG-based causal modeling
Python NumPy SciPy Pandas Scikit-learn PyMC Statsmodels PySpark Keras
- 💞️ I’m looking to collaborate on data science projects 📫 c.shahab@yahoo.com · LinkedIn