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Built an enriched customer profile by deriving few key performance indicators (KPIs). For dimensionality reduction used Principal Component Analysis. To identify the optimal clusters performed clustering using K-Means and Agglomerative Hierarchical Clustering such as Elbow analysis, Silhouette coefficient, Dendrogram. Performed segment distribution and Profiling to form segments and based on the analysis of each segment identified the key consumption characteristics of each segment.