Chief Research Scientist with 15+ years architecting enterprise-scale predictive systems across credit risk, behavioral analytics, fraud, and AI-driven assessment. Experienced in cloud data platforms, CI/CD-driven ML pipelines, causal inference, experimentation, and LLM/RAG integration. NRF-rated researcher with 30+ peer-reviewed publications. Trilingual in English, German, and Afrikaans.
Lead data scientist on 40+ engagements in behavioral science, machine learning, and AI systems for government, fintech, and private-sector clients across 13 international markets. Built and deployed alternative credit risk models, CI/CD-driven ML pipelines, and a compliance-focused RAG pipeline.
Professor in statistics, psychometrics, and applied AI/ML frameworks. Published research on large-scale RAG frameworks, career-velocity prediction, and behavioral science applications.
Delivered analytics and program evaluation engagements using hypothesis-driven frameworks, applied statistics, and predictive modeling across behavioral and administrative datasets.
Taught MBA and MPhil courses in change management, behavioral analytics, and applied research methodology.
Ph.D., Industrial Psychology
M.Com, Industrial Psychology
B.Com (Hons), Industrial Psychology
B.Com, Human Resource Management
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