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Capstone-project--Retail-Analysis

  • Analyzed transactional data for an online retail company to develop customer segmentation strategies for targeted and effective marketing campaigns.
  • Conducted comprehensive data cleaning and transformation, implemented RFM data modeling techniques, and applied machine learning algorithms such as K-means clustering for customer segmentation.
  • Generated actionable insights by reporting clusters of customers with RFM values through the utilization of Tableau Dashboard. Tools and Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn, K-means Clustering, Tableau.