I build data-driven projects at the intersection of macroeconomics, geopolitics, and financial markets.

My work focuses on understanding how economies and broader systems respond to external shocks such as geopolitical events, market stress, and macroeconomic disruptions. I am especially interested in how different parts of a system interact, how risks propagate, and how these dynamics can be studied through reproducible analytical models.

I aim to work on timely and economically relevant topics, using current events as a starting point for research that combines quantitative analysis with practical business and financial insight. Alongside forecasting and prediction, I care about extracting interpretable conclusions that help explain what is happening, why it is happening, and what the implications may be.

• Macroeconomic and macro-financial analysis
• Geopolitical and event-driven market research
• Risk transmission and system interactions
• Forecasting and predictive modeling
• Reproducible research in Python

• Dutch Macro-Financial Pressure Index
  Constructed a macro-financial pressure index for the Netherlands using indicators such as inflation, labor market conditions, confidence, industrial production, and financial variables.

• Geopolitical Energy Shocks & European Equities
  Studied how geopolitical and energy-related shocks may affect European companies and sectors through returns, volatility, and benchmark-relative performance.

• ASML Abnormal Return Analysis
  Analyzed ASML abnormal returns against broader market and macro-financial drivers including SOX, NDX, EUR/USD, VIX, and US10Y.

Python (pandas, numpy, matplotlib, statsmodels, scikit-learn), SQL, Power BI, Advanced Excel

I am interested in roles in finance that combine technical and analytical skills with business perspective, especially in areas related to financial markets, macroeconomics, risk, strategy, and data-driven decision-making.