Reverse engineered the pricing structure of a competitor using machine learning algorithm (Gradient Boosted Trees)
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Updated
Jul 11, 2020 - R
Reverse engineered the pricing structure of a competitor using machine learning algorithm (Gradient Boosted Trees)
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Predicting travel insurance claims using Machine Learning to streamline claim approvals, reduce human error, and improve service efficiency. Includes ROC analysis and hyperparameter tuning. Collaborative group project.
The Travel Insurance Automation Smart Contract is a decentralized, blockchain-based insurance platform built on the Stacks blockchain using Clarity. It eliminates intermediaries by automating policy issuance, premium collection, claim filing, and payout distribution through smart contract logic and oracle-based verification.
ML project identifying key factors influencing travel insurance purchases, providing actionable insights and high-accuracy predictive models.
Chubb Limited is the world's largest publicly traded property and casualty (P&C) insurance company, serving consumers, small businesses, and multinational corporations across 54 countries and territories.
RAG-based AI assistant for Manulife Travel Insurance using GPT-4o-mini and ChromaDB. Features table-aware PDF extraction with pdfplumber, query expansion, and automated LLM-as-Judge evaluation for complex multi-plan insurance tables.
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