demand analysis, customer segmentation, churn analysis
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Underwriting Beyond Data Enrichment and Machine Learning
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Provided the necessary information for validating a model for the underwriters based on machine learning modeling, essentially for accurate prediction, feature engineering, segmentation of customers, interpretation, and price elasticity.
index insurance, hedging, time series analysis
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Price Index Insurance: USDA Beef and Pork
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Index price insurance as an alternative to derivatives in the agricultural market. The project designed the risk engine to model and simulate USDA livestock index prices, and designe insurance to meet the business needs such as mean loss ratio.
time series analysis, insurance premium calculation
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Insurance for high-risk commodities
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Studied the feasibility of introducing insurance contracts for shrimp in Indonesia. The project is the first of its kind in the world, to use actuarial techniques to provide educational knowledge of shrimp insurance.
customer clustering, credit rating, automated expert advisory
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Automated Advisory Car Insurance
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The project has designed an advisory system using AI and machine learning methods to replicate the opinion of the experts in the can insurance department.
