Daniel Pellatt

PhD Economist focused on quantitative research, applied analytics, decision science, and statistical modeling.

Currently based in San Jose, CA and open to relocation and remote opportunities.

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Overview

I am interested in quantitative research, data science, risk analytics, and related analytical roles.

I am especially interested in opportunities where rigorous empirical work, statistical modeling, and decision-oriented analysis are valuable.

I recently completed an independent Python project building a point-in-time data pipeline, predictive modeling workflow, and backtesting framework for cross-sectional equity return prediction and portfolio construction. The project page summarizes the workflow, selected findings, supporting materials, and links to the public code repository.