I’m a graduate statistics student at ETH Zurich in Switzerland with a BA in Economics and a passion for using quantitative methods to drive business value.
In my role as Spot Power Analyst at Axpo next to my studies, I employ predictive modelling techniques and data analysis, predominantly using Python and R to assist the spot traders.
In addition to my academic and professional interests, I have a passion for outdoor sports (🏃), human-powered (🚲) and motorised (🏍️) two-wheelers, and a background in boxing (🥊).
Thank you very much for visiting and feel free to explore posts on my Blog using the navigation bar on the top right.
Education
ETH Zürich | Zurich, Switzerland
MSc in Statistics | Sep 2023 – Present
- Anticipated graduation in Summer 2025
- Relevant Coursework: Statistical Modelling, Likelihood Inference, Computational Statistics, Machine Learning, Data Analytics
- Student Project on European Crossborder Power Trading with RWE Supply & Trading
University of St. Gallen (HSG) | Switzerland
M.A. in Banking and Finance (MBF) | Sep 2022 – Feb 2023 (discontinued)
- Selected coursework: Applications of Machine Learning, Programming in Advanced Computer Languages, Predictive Econometrics, Quantitative Methods
- Discontinued due to a desire to pursue quantitative methods deeper at ETHZ
University of St. Gallen (HSG) | St. Gallen, Switzerland
B.A. in Economics | Sep 2019 – Jul 2022
- Thesis: Application of Machine Learning to Mutual Fund Selection (5.75/6.00)
- Focus on Data Handling and Statistical Modelling
- Selected Course Work: Mathematics for Economists, Statistics, Causal Econometrics, Data Analytics, Fundamentals of Computer Science, Monte Carlo and Quantitative Decision Support, Development of Web Applications, Corporate Finance, Corporate Valuation, Money Banking and Finance
Experience
Axpo | Baden, Switzerland
Spot Power Analyst | Feb 2024 – Present
- Supporting Axpo’s spot traders with predictive modelling and market analysis
BKW | Bern, Switzerland
Junior Operations Research Analyst | Oct 2023 – Jan 2024
- Supporting the operations research team with predictive modeling, data analysis, and data visualisation
- Majority of tasks involve Python (Pandas, Polars, PyTorch, Scikit-learn, Plotly, Shiny) and R (Tidymodels, Shiny, ggplot2)
BKW | Bern, Switzerland
Internship – Machine Learning Intern in Asset Optimization | Apr 2023 – Sep 2023
- Responsible for a feasibility study on the application of reinforcement learning algorithms for the optimisation of flexible powerplants in the day-ahead markets
- Other side-projects: Fine-tuning deep learning models for load forecasting, developing interactive Shiny dashboards, backtesting trading strategies in the forward markets
Bergos Privatbank | Zürich, Switzerland
Internship – Active Advisory | Jul 2021 – Sep 2021
- Buy-side investment advisory for private clients across asset classes (Focus on Equities and Alternatives)
- Automation of monitoring tasks (e.g. automated downgrade alerts, gap analysis for missing data on funds)
PwC | Luxembourg
Internship – Regulatory & Compliance Advisory Services | Apr 2019 – May 2019
- Optimisation of Excel models and creation of VBA applications for Anti-Money-Laundering screenings (web scraping, automated documentation)
