AI & Analytics leader with deep experience translating AI models into real-world business and risk outcomes. Strong focus on Responsible AI, AI governance, and model risk management to ensure systems are explainable, auditable, compliant, and business-aligned. Hands-on expertise in Continuous Control Monitoring (CCM), offsite audits, and AI-driven risk frameworks, effectively bridging policy, technology, and execution.
Led and contributed to AI/ML initiatives across customer analytics, predictive modeling, segmentation, and decision automation, delivering measurable impact. Known for execution-first leadership—moving beyond theoretical governance to implement scalable controls, monitoring, and accountability mechanisms.
A trusted partner to stakeholders and clients, recognized for high-impact delivery and long-term relationship building. Passionate about ethical AI, fairness, transparency, and human-in-the-loop systems in high-stakes use cases. Actively engaged in AI maturity assessments, NIST-aligned governance, and GenAI risk evaluation, while mentoring teams and simplifying complex AI concepts for leaders and business users.