During a recent interview, I was asked about major Data Science projects I would pursue within the insurance industry. Here's what I outlined along with my reasoning: 1. Frequency & Severity Prediction Model: Essential for risk assessment. 2. Marketing Optimization: Targets high customer acquisition costs. 3. Claims Fraud Prediction: The industry faces over Rs. 30,000 crore in annual losses due to fraud. 4. Cross-Sell Optimization Modeling: Aims to increase revenues, customer lifetime value, and overall profitability. Considering the potential impact and relevance, I've chosen Claims Fraud Prediction and Cross-Sell Optimization as the two primary focus areas for tackling challenges within the insurance sector. Thoughts? #DataScience #InsuranceIndustry #AnalyticsInsights
Machine Learning India
E-Learning Providers
Community of experienced Data Scientists to mentor you through the learning phase.
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✍ Personalized curriculum for ML 📚 Hand-written Notes on ML 🚀 Mocks Interviews 📄 Resume & Github Profile Evaluation 📩 Queries ⤵ www.3dataguys.com
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https://www.3dataguys.com/
External link for Machine Learning India
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- Mumbai
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- 2020
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