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  • 05:18 (UTC +10:00)

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  1. CUSTOMER-SEGMENTATION CUSTOMER-SEGMENTATION Public

    Python-based unsupervised ML project applying KMeans++ and Agglomerative clustering to segment 2,000 travel customers across 7 demographic variables. Validated using Elbow method and Silhouette ana…

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    Build a full credit-risk prediction pipeline to predict which credit card customers are likely to default next month, based on demographic and payment behaviour features.

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  3. AUS-DEMOGRAPHIC-AUS AUS-DEMOGRAPHIC-AUS Public

    Power BI analytics project examining 20 years of ABS census data across 10 Asia-Pacific countries of birth, 8 states/territories, and 5-year intervals. Features 3 interactive dashboards covering po…