I build decision systems for healthcare teams: clear data, useful products, measurable change.
I work at the intersection of pharma strategy, analytics, product discovery, and automation. My bias is toward practical systems: tools that reduce manual judgment, make field decisions clearer, and help teams act faster.
The pattern: find the unclear decision, structure the data around it, and ship something usable enough to change how people work.
Problem: Teams relied on manual, bias-prone methods to identify influential doctors.
Role: Integrated datasets, configured scoring logic, and led execution of the ML product.
Outcome: Reduced identification time by up to 50% and improved targeting effectiveness by 30%.
Problem: Medical Science Liaison activity was qualitative, fragmented, and hard to explain upward.
Role: Led discovery, executive interviews, mockups, PRDs, KPI design, and global rollout.
Outcome: Defined 80+ KPIs and deployed executive dashboards across three pharma clients.
Problem: Regulatory teams were spending expert time on repeatable, rules-driven work.
Role: Managed five analysts, mapped automation opportunities, and designed RPA workflows.
Outcome: Improved efficiency across 40+ workflows and scaled transformation delivery.
Problem: Group dining bookings were offline, unstructured, and difficult for venues to convert.
Role: Built a full-stack MVP through market research, user interviews, and AI-assisted prototyping.
Outcome: Improved operational efficiency by 70% and validated demand with early partner interest.
The throughline is practical strategy: turn ambiguous business questions into analytics products, prototypes, dashboards, and operating change.
Focus: Agentic AI, machine learning, statistics, decision analytics, and business strategy.
Impact: Built a booking MVP that converted offline group dining demand into structured workflows.
Impact: Owned $900K in delivery while leading KOL analytics engagements and analyst teams.
Impact: Led discovery, KPI definition, dashboard design, and global deployment for Medical Affairs analytics.
Impact: Managed automation delivery across regulatory business processes and 40+ workflows.
Impact: Built KOL identification and de-duplication models for profiling 50K+ doctors.
These are grouped by how I work: shaping products, modeling decisions, building prototypes, and communicating strategy.