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• Designed econometric models with hierarchical frameworks and interaction specifications to analyze mediating factors in key labor outcomes across 50,000+ interview transcripts from an AI vs. human interviewer randomized control trial.
• Developed a sophisticated NLP feature engineering framework bridging text-as-data methods with causal inference; implemented LLM-assisted extraction, SBERT embeddings, and clustering algorithms to quantify conversation dynamics and linguistic patterns.

[→ Publication: Voice AI in Firms]

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• Collaborated on a World Bank project to develop a library of international development research findings, enhancing accessibility of critical data for global leaders and policy makers.
• Applied quantitative social science research methods to analyze and evaluate the impact of business training, microcredit, and cash interventions.