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End-to-end motor insurance analytics project using a two-stage (hurdle) modeling approach to predict claim occurrence and claim severity. Combines business analysis, machine learning, and risk insights to support underwriting, pricing, and claims optimization in General (P&C) Insurance.

  • Updated Dec 22, 2025
  • Jupyter Notebook

Global Airports Data Analysis & Machine Learning Project - explores worldwide airport data including location, codes (IATA/ICAO), and operational details. Includes data cleaning, exploratory data analysis, visualization, and predictive modeling to uncover insights about airport distribution, traffic patterns, and classifications.

  • Updated Mar 21, 2026
  • Jupyter Notebook

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