Nilimesh Halder
Principal Forecaster - Data Analytics, Demography & Forecasting
Perth, Western Australia
Summary
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Senior🎓
Top SchoolNilimesh Halder is a Principal Forecaster and analytics leader based in Perth with 10+ years’ experience applying AI, forecasting and machine learning to public policy, gaming and health sectors. He blends deep academic training—a PhD in predictive disease modelling—with hands-on product delivery, having built production ML pipelines, econometric forecasts and high-ROI predictive models (including churn and lifetime value models) for Crown Resorts. At the Department of Planning, Lands and Heritage he now focuses on demography, land-use and economic forecasting, while maintaining a practice in data engineering on GCP, BigQuery, Airflow and TensorFlow. His background in infectious disease modelling and health economics gives him an unusual ability to translate complex stochastic models into actionable policy and business insights. He also publishes technical write-ups and tutorials (Nilimesh.substack/gumroad) that bridge academic rigor with production-ready analytics.
10 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Predictive Modelling of Infectious Disease Spread Artificial Intelligence Decision Analytics, Doctor of Philosophy (Ph.D.) Predictive Modelling of Infectious Disease Spread Artificial Intelligence Decision Analytics at The University of Western AustraliaProfessional Certificate Business Analysis, Professional Certificate Business Analysis at MicrosoftBachelor of Science Computer Science and Engineering, Bachelor of Science Computer Science and Engineering at Khulna University
English, Bengali
Stackoverflow
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Github contributions (2)
nilimesh/Applied-Machine-Learning-and-Data-Science-Recipes
Feb 2019 - May 2022
Contributions:20 commits, 16 pushes in 3 years 4 months
nilimesh/datasciencecoursera
Sep 2015 - Feb 2019
Contributions:1 push, 1 branch, 1 comment in 3 years 4 months
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