Student Performance Prediction, Used R and Python to build predictive models (linear regression, decision trees) to estimate students’ final grades based on factors such as study time, internet access, and parental education. ETL Pipeline for App Review Analysis, Extracted, transformed, and loaded data on Google Play Store apps and user reviews. Cleaned and structured raw data into a usable format using Python and SQL for sentiment and trend analysis. California Wildfires: Trends and Risk Factors, Analyzed correlations between wildfire frequency and weather/human activity using regression and visualization tools in Python. Identified seasonal and regional patterns to understand causation. Air Pollution and Climate Change in Urban China, Built a regression model in R using weather data from a Beijing station to analyze the impact of urban air pollutants on long-term temperature changes.