The Challenge

Despite massive data assets, GE Healthcare’s commercial teams lacked the tools to turn insight into action. Market coverage gaps, especially in oncology, were limiting growth — and without scalable targeting systems, reps defaulted to historical behaviors. Meanwhile, high-value leads were getting lost in the noise.

The ask: work cross-functionally to turn predictive models into operational tools that could be adopted by sales and scaled across regions.

My Role

• Productization of Data Science
  Collaborated with our Chief Data Scientist to translate complex models into intuitive commercial tools. Focused on delivering real-world impact by making outputs usable at the point of decision for sales teams.

• Workflow Integration
  Embedded scoring models into web-based products and dashboards that seamlessly integrated with existing CRM and sales operations tools. Prioritized usability, context, and actionability to drive adoption.

• Impact Metrics

  • $1B+ in incremental imaging orders attributed to smarter targeting and lead qualification

  • 10%+ increase in cancer imaging coverage across target hospitals and clinics

  • Improved sales focus and reduced time wasted on low-probability accounts

• Strategic Enablement
  Positioned the tools as internal benchmarks for data-informed sales execution. Supported rollout across business units and documented learnings to inform future AI/ML productization efforts.

Outcome

This collaboration brought GE Healthcare’s commercial AI vision to life — not through theoretical modeling, but through usable tools that impacted day-to-day execution. The success validated the power of embedding data science in frontline workflows and set the standard for commercial transformation through digital products.