Student Risk Platform uses AI to detect early signs of academic, behavioral, and engagement risks before students drop out or fail. By combining attendance, grades, and well-being signals, it generates real-time risk scores, explains why a student is flagged, and recommends targeted interventions for advisors, teachers, and institutions. It helps schools move from reactive to proactive student support.
I am a senior project and program management professional with 16+ years of experience across technology governance, enterprise systems, audits, and innovation-led initiatives. My work centers on designing, evaluating, and governing complex delivery frameworks, with a strong emphasis on objective decision-making, process standardization, and measurable real-world impact.
I actively contribute to the global innovation ecosystem as a hackathon judge, evaluator, and mentor, assessing AI, data, and emerging-technology solutions using structured criteria such as feasibility, scalability, governance maturity, and deployment readiness. I have evaluated projects across multiple international hackathons, helping teams strengthen solution quality, compliance, and execution capability.
