Statistical analysis on Portuguese student performance data using correlation metrics and regression modeling to evaluate how parental education, alcohol consumption, and social factors influence grades and free time.

Time series forecasting analysis of U.S. monthly ice cream sales (2004–2019) using SARIMA time series modeling to capture trend, seasonality, and generate accurate short-term forecasts.

Applying exploratory data analysis and classification models (logistic regression, random forest, boosted trees) to Learnova’s prospect data to identify key drivers of online course enrollment and provide actionable business insights.

Regression Analysis of Diamond Prices: Using descriptive statistics, visualizations, and regression modeling on the Kaggle Diamonds dataset, this project identifies key predictors such as carat, cut, color, and clarity. Techniques including transformations, assumption testing, and model selection (AIC, VIF) highlight the most significant factors driving price, providing both statistical insights and real-world implications for valuation.