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.