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This repository contains a financial analysis in python of the FTSE MIB. From raw data I conduct an historical risk analysis, calculate key financial metrics (Annualized Returns / Volatility, Drawdowns, Sharpe/Sortino Ratios), non-normality metrics (Skewness/Kurtosis), and compare three VaR models: Historic, Gaussian, and the Cornish-Fisher method.
Interactive Power BI dashboard for financial reporting and analysis (2018–2020), covering Profit & Loss, Balance Sheet, and cross-country performance. Provides insights on sales growth, asset expansion, profitability ratios (ROE, ROCE), and regional market trends to support data-driven decisions.
End-to-end Business Intelligence (BI) solution for AtliQ Hardware using Excel. Designed sales and finance reports with interactive filters for trend analysis, KPI tracking, and actionable insights to support data-driven decision-making.