Purnabrata Giri
Excel | Data Analyst | Statistics | Machine Learning
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🌍 Statistical Analysis of the Rise in Earth’s Temperature | 2021–2025
I’m excited to share my latest data-driven statistical analysis project, developed using Microsoft Excel to examine the upward trend in Earth’s temperature.
📌 Key highlights:
• 📈 Consistent increase in temperature from 2021 to 2025
• 🌡️ Overall increase of approximately 0.0986°C
• 📊 Descriptive statistical analysis
• 🔗 Correlation analysis
• 📐 Linear regression and trendline analysis
• 🔮 Temperature forecasting
• 📊 Data visualization and dashboard development
This project helped me strengthen my practical understanding of statistics, data analysis, regression, forecasting, and Excel-based visualization.
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This practical work studies Jackknife and Bootstrap resampling methods through Monte Carlo simulations. It compares their performance for bias and variance estimation, confidence intervals, survival probabilities, sample medians, correlations, and regression coefficients under different distributions. The study shows that bootstrap methods are generally more robust, while jackknife is useful for smooth statistics and bias correction.
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This study analyses household consumption expenditure in Assam using NSS 68th Round data. It examines the simultaneous relationship between food expenditure and overall consumption expenditure. Since endogeneity may bias OLS estimates, the study applies the Two-Stage Least Squares (2SLS) method with instrumental variables to obtain more reliable estimates.
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Developed a statistical and machine learning framework to analyze factors associated with zoonotic virus pathogenicity and potential human infection risk. The project focuses on applying statistical modeling, exploratory data analysis, feature selection, and machine learning techniques to identify meaningful patterns and build predictive models.
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