Vinay Benny is a seasoned data scientist and statistical analyst based in Wellington with over a decade of hands-on experience translating complex social-sector and commercial problems into robust analytic solutions. He has a 17-year background in statistical modelling, machine learning and data engineering, and has delivered causal impact studies, predictive risk models and large-scale NLP/PII tools across government agencies and financial regulators. Vinay’s work spans the full lifecycle from IDI-based causal inference and survival analysis to production-grade pipelines on Databricks, Snowflake and SAS Viya, and he often bridges policy questions with technical reproducibility. Notable projects include driver licensing progression and wage-equation studies that inform social policy, and an enterprise NLP audit tool for PII discovery built on PySpark/Azure Databricks. He pairs strong econometrics and simulation skills with practical data engineering and modular coding practices that make analyses reusable across agencies. A keen learner, Vinay is actively exploring reinforcement learning and advanced NLP techniques to extend his applied research toolkit.
12 years of coding experience
9 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at National University of Singapore
Contributions:9 commits, 13 pushes, 1 tag in 1 year 2 months
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Vinay Benny - Data & Analytics, Sector Performance Group