I'm a recent MSc in Statistical Science graduate passionate about causal inference, forecasting, and energy.
- 🎓 Stats, Econometrics & Operations Research, Economics at Oxford, Maastricht (Exchange at Texas A&M), and Heidelberg
- 📝 Recently finished my master's thesis on panel data forecasting for day-ahead power prices (available here)
- 🔭 Recently worked on matrix completion methods for causal inference and panel data forecasting (Now available on Pip)
- 🌱 Interested in asking and answering useful questions using data
- 📢 Experienced in communicating technical material
- 🚀 Future goal: Applying statistical methods to energy markets and commodity trading
- Python: (
pandas,NumPy,PyTorch,sklearn,JAX,Optuna,XGBoost) - SQL: Postgres, PostGIS
- R (
Base,tidyverse,data.table,fect,fixest,modelsummary, ...) - You can find some of my projects on machine learning and data visualisation on my personal website, as well as in the GitHub highlights right below this text.
📸 Photography | 🏔️ Mountaineering | 🏎️ Formula 1
Feel free to connect and reach out, I am always working on and looking for interesting projects and inspirations!
