Developed a Customer Personality Analysis project using Python, applying and comparing four clustering techniques — Hierarchical Clustering, K-Medoids, Fuzzy Logic, and Genetic Algorithm — on a real-world Kaggle dataset. The project covered the full data science pipeline: data cleaning, feature engineering, standardization, clustering implementation, and result interpretation to derive actionable customer segmentation insights.