Professional Focus
My work sits at the intersection of machine learning, statistical modeling, applied AI, and stakeholder-facing decision support. I am most useful where the problem is ambiguous, the data is imperfect, and the model output has to translate into a real operational decision.
Healthcare analytics is the strongest proof point so far, including provider risk, claims and utilization data, escalation modeling, explainability, and communication in regulated settings. The underlying skill set is broader: AI, ML, analytics, evaluation, and decision-system design.