Architecting data systems that bridge rigorous causal economics with interpretable machine learning to drive strategic decision-making.
My personal mission is to use data to help solve the world's most pressing challenges.
My career is defined by 0→1 ownership, where I specialize in building data functions from the ground up—architecting both the strategic roadmaps and the full-stack, production-facing systems necessary to turn ambiguous problems into scalable solutions.
My journey began in international development, including significant work with the Asian Development Bank on poverty reduction and social welfare. This experience instilled in me a rigorous approach to understanding human incentives and a commitment to building systems that don't just generate insights, but drive equity and access.
I bring a unique dual-capacity to leadership: the ability to navigate high-stakes strategic decisions with C-suite stakeholders, and the technical rigor to deploy production-grade data infrastructure. I specialize in aligning technical roadmaps with mission-critical business value.
I am a builder at heart. I am equally at home defining a multi-year data strategy as I am productionizing dbt pipelines or engineering predictive models. I thrive in high-growth, ambiguous environments, helping cross-functional teams speak a common, data-driven language.
Having traveled to more than 60 countries, I have a deep appreciation for the diversity of human experience. This global perspective allows me to navigate operational ambiguity with empathy and adaptability, ensuring that the solutions I build are as inclusive as they are scalable.