I’m a Data Scientist working at the intersection of machine learning, causal thinking, and real-world constraints. My focus is on framing ambiguous problems, designing decision-oriented models, and translating data into actions that matter.

I’ve worked across the full lifecycle of data products—from problem formulation and data pipelines to production systems and stakeholder decisions. I care deeply about assumptions, trade-offs, and understanding why a system works, not just that it works.