His expertise enables him to craft custom quantitative solutions that streamline data retrieval, enhance analysis, and bridge the gap between Bloomberg’s ecosystem, Microsoft Excel, and Python.

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Such high-dimensionality makes visualization of samples difficult and limits simple exploration of the data. Principal component analysis (PCA) is a mathematical algorithm that reduces the ...

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Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning.