Johns Hopkins University
M.S. in Marketing Analytics (STEM)
Chapter 04About
The technical work is the foundation: SQL, forecasting, measurement, experimentation, and AI workflows. What makes it useful is noticing the right problem, shaping a practical solution, and telling the story so different audiences know exactly what to do next.
Hosting the Big Data & AI Summit.How I create leverage
My analytical foundation is technical: SQL, forecasting, MMM, attribution, experimentation, BI systems, and AI workflow design. I like the rigor of finding what is real inside messy signals.
But the work only matters when it changes what people do. I look for the actual problem behind the metric, then turn it into a solution a team can test, trust, and repeat.
My communication background helps me translate the same idea across audiences: executives need the decision, marketers need the action, analysts need the logic, and builders need the system. The story changes shape, but the signal stays intact.
Education
Marketing analytics gave me the technical base. Media and communication gave me the audience sense. Together, they shaped how I turn complex problems into decisions people can act on.
M.S. in Marketing Analytics (STEM)
B.A. in Bilingual Broadcasting
Exchange, Marketing & Business Management
Recognition
Different venues, same pattern: spot the problem, build the solution, and make the story clear enough for people to believe it, use it, and move with it.
Won first place across the 2025 WPP Hackathon, the 2025 WPP Global Hackathon in the U.S., the 2026 WPP Emerging AI Talent Hackathon, and Cannes Young Lions. The work spanned predictive analytics, AI enablement, and creative strategy.
Led 10-plus AI masterclasses, prompt sessions, and agent walkthroughs for more than 300 employees, translating AI tools into practical research, reporting, and strategy workflows.
Chosen to represent WPP on the strength of work across analytics, AI, and creative strategy.
Want to talk about a role, a project, or how this fits?