Vinay Benny

Senior Data Scientist, Sector Performance Group

Wellington, Wellington, New Zealand
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Summary

👤
Senior
🎓
Top School
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.
code12 years of coding experience
job9 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at National University of Singapore
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Github Skills (17)

analytical9
machine-learning6
java6
scala5
distributed-systems5
windows5
python5
spark5
xgboost5
dataflow4
hadoop4
dask3
gbm3
gradient-boosting2
voronoi2

Programming languages (5)

C++CSSRSASPython

Github contributions (5)

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Blog
Contributions:31 PRs, 48 pushes, 2 branches in 5 years 7 months
cssjekyll
Standardised tables for doing cross agency work in the IDI - NOTE: Currently being updated due to IDI SAS Grid and Windows 10 migration
Contributions:9 commits, 13 pushes, 1 tag in 1 year 2 months
windowssiusocialinvestmentunit
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