Dynamic HCP Targeting & Promotional Response
Built standardized targeting models prescribing omnichannel HCP engagement and resource allocation across pharmaceutical brands at Pfizer and UCB.
I build machine learning systems that drive measurable business outcomes—from revenue optimization to operational automation. Here's what I've shipped.
Optimize allocation of people, budget, and assets
Built standardized targeting models prescribing omnichannel HCP engagement and resource allocation across pharmaceutical brands at Pfizer and UCB.
Better audience and engagement targeting
Built standardized targeting models prescribing omnichannel HCP engagement and resource allocation across pharmaceutical brands at Pfizer and UCB.
Cut operational expenses and inefficiencies
End-to-end forecasting framework at NetApp covering 1000s of Product × Segment × Geography time series at multiple horizons.
Streamline processes and workflows
End-to-end forecasting framework at NetApp covering 1000s of Product × Segment × Geography time series at multiple horizons.
R Shiny dashboard automating data pulls and manipulation of IQVIA LAAD and Specialty Pharmaceutical data.
Summer internship project building models to predict chemical properties of polymers using interpretable methods.
Free time for higher-value work
Hackathon prototype: retrieval-augmented generation system embedding NetApp's internal knowledge base to accelerate sales engineer responses.
R Shiny dashboard automating data pulls and manipulation of IQVIA LAAD and Specialty Pharmaceutical data.
Enhance user and customer experience
Hackathon prototype: retrieval-augmented generation system embedding NetApp's internal knowledge base to accelerate sales engineer responses.
Speed scientific discovery and R&D
Prior consulting engagement providing AI/ML expertise for structural biology and protein modeling applications in biotech R&D.
Summer internship project building models to predict chemical properties of polymers using interpretable methods.
PhD research applying machine learning to identify essential genes for cyanobacterial nitrogen fixation toward self-fertilizing crops.
Minimize business and operational risk
Prior consulting engagement providing AI/ML expertise for structural biology and protein modeling applications in biotech R&D.
Generate new scientific understanding
PhD research applying machine learning to identify essential genes for cyanobacterial nitrogen fixation toward self-fertilizing crops.