In her role, Zubia builds customer clusters, churn modeling, and knowledge graphs for AI agents and recommendation engines to create data-driven prescriptions. She works hands-on with Python, TensorFlow, PyTorch, and advanced analytics tools to create scalable, human-centered solutions that align tightly with business goals.
Zubia holds a doctorate in Leadership in Workforce Development and certifications in data science and AI from MIT. She brings deep domain expertise to her role, bridging the gap between algorithm and application. Her current work is centered on building context-aware agents that learn from feedback and grow smarter over time, fueling the next generation of adaptive, enterprise-ready AI systems.
