Assessing financial risk through quantitative modelling, statistical analysis and Python-based workflows, with space to document the problem, method, results and practical implications.
Analysing energy-market data, price dynamics and uncertainty using econometrics and data visualisation to connect market structure with financial decision-making.
Evaluating climate-finance and investment questions through scenario analysis, economic reasoning and transparent data methods. Detailed results and impact: [to be added].