Retail Stores Sales Analysis & Prediction

Analyzed data for 150 retail stores across

Australia with 26 operational variables.

Explored sales, wages, and staff

performance through data visualization.

Applied Clustering (K-means, Hierarchical)

to segment stores.

Built Regression models to predict sales and

used Logistic Regression for classification.

Skills: Python, Scikit-learn, Pandas, Clustering,

Regression, Logistic Regression, Matplotlib,

Seaborn