Actuarial data science project analyzing insurance claims to identify potential fraud and assess customer risk. Includes Python preprocessing, feature engineering, and a stakeholder-ready Tableau dashboard.
Data Description: The data at hand contains medical costs of people characterized by certain attributes. Domain: Healthcare Context: Leveraging customer information is paramount for most businesses. In the case of an insurance company, attributes of customers like the ones mentioned below can be crucial in making business decisions. Hence, knowi…
2020 미래에셋 금융 빅데이터 페스티벌 (보험금 청구분야 Final 1위 solution)
Исследование влияния характеристик клиентов страховой компании на размер страховых выплат
This analysis applies simple linear regression to explore the relationship between age and insurance premium. It includes model training, visualisation, and evaluation using MSE and RMSE to assess prediction accuracy.
An interactive Power BI Dashboard for an Insurance Company, analyzing premium collections, payouts, investments, and policyholder insights. Built using Power BI and Excel, this project demonstrates data modeling, DAX, and business intelligence to track KPIs, visualize trends, and support data-driven decisions.
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