Performed end-to-end data analysis on an insurance dataset to predict costs using linear regression. Conducted data cleaning, feature exploration, and statistical modeling in Python. Delivered full Jupyter Notebook report with visualizations, R-squared interpretation, and business insights. Skills demonstrated: linear regression, predictive modeling, data analysis, Python, Pandas, Matplotlib, Seaborn, Jupyter Notebook, statistical analysis, data visualization, data cleaning.