An interactive Tableau Public dashboard analysing COVID-19 recovery and positive rates across US states. Features a choropleth map for geographic recovery distribution, a treemap ranking states by positive rate, and a horizontal bar chart for direct state-by-state comparison — enabling rapid, evidence-based public health insights.

Applied K-Means and Hierarchical (Agglomerative) clustering to segment mall customers by Annual Income, Age, and Spending Score. Used the elbow method and dendrograms to determine optimal cluster counts, and Pandas Profiling for automated EDA — surfacing five distinct customer personas to inform data-driven marketing strategy.

Built and compared three OLS Multiple Linear Regression models to predict car prices for an automobile consulting company. Progressed from a single predictor (horsepower) to a multi-feature model (horsepower, curb weight, engine size), validating each with residual analysis and train/test evaluation to identify the best-fit specification.