NILIMESHÂ HALDER
Data Scientist
Perth, Western Australia
Summary
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SeniorNilimesh Halder is a seasoned AI, analytics, and demography forecasting expert with a decade of experience spanning academia, gaming, and government. He is currently Principal Forecaster - Data Analytics, Demography & Forecasting at the Department of Planning, Lands and Heritage in Perth, where he applies advanced forecasting to eco, land-use, and population planning. During his time at Crown Resorts, he built 28 predictive models, including churn models with ROI over 800% and accuracy above 85%, along with lifetime value and segmentation frameworks that powered targeted marketing. His academic credentials include a PhD in Predictive Modelling of Infectious Disease Spread from The University of Western Australia, complemented by postdoctoral work on disease modeling and health economics for WHO and NHMRC-funded projects. Based in Perth, Australia, he blends Python, R, SQL and cloud-based data engineering (GCP, BigQuery, Airflow) with a strong publishing track, sharing insights via Substack and Gumroad.
10 years of coding experienceGithub 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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