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1. Worldwide-Life-Expectancy-Analysis-with-Python Worldwide-Life-Expectancy-Analysis-with-Python Public

   This repository contains an exploratory analysis of global life expectancy (1950–2023): world & continental trends, historic catch-up, the Great Chinese Famine (1959–61) and COVID-19 shocks, plus a…

   Python

2. Brent-Oil-VaR-using-Machine-Learning-with-Python Brent-Oil-VaR-using-Machine-Learning-with-Python Public

   This repository contains the analysis and results of a study on the estimation of Value at Risk (VaR) for Brent crude oil. The analysis compares classical VaR methods with advanced Machine Learning…

   Python

3. Financial-Data-Analysis-Automation-with-Python Financial-Data-Analysis-Automation-with-Python Public

   This repository provides a collection of automated processes designed to streamline financial data analysis, including Data Collecting & Cleaning from Yahoo Finance, EDA, Financial Features Calcula…

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4. Geographical-Data-Analysis-of-Poverty-in-Italy-with-R Geographical-Data-Analysis-of-Poverty-in-Italy-with-R Public

   This project explores poverty in Italy through a geographical and statistical perspective, using data from ISTAT and BES (Benessere Equo e Sostenibile). The analysis combines descriptive statistics…

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5. Insurance-Customer-Risk-Segmentation-with-Python Insurance-Customer-Risk-Segmentation-with-Python Public

   This repository contains a complete, end-to-end data pipeline for insurance customer risk segmentation and pricing optimization using synthetic data with python. It includes raw customer data, a re…

   Python

6. Insurance-Claims-Analysis-Classification-and-Monte-Carlo-Simulation-with-Python Insurance-Claims-Analysis-Classification-and-Monte-Carlo-Simulation-with-Python Public

   This repository analyzes insurance claims data to study which factors (age, income, gender, education, etc.) most influence the claim amount and to explore risk segmentation through clustering, pre…

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