I build practical product systems that turn data, analytics, and agentic AI into clearer decisions and faster action.
I work at the intersection of strategy, analytics, product discovery, and information systems. My bias is toward practical tools that reduce manual judgment, clarify decisions, 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.