Data Science

Data science in a quant context means exploring market data, engineering meaningful features, and applying machine learning with the statistical discipline that finance demands. I write about the exploratory workflows, validation techniques, and pitfalls specific to financial data, where overfitting is the default outcome and out-of-sample performance is the only metric that matters.