/Customer-analytics

Customer lifetime value analytics, customer value segmentation using ML clustering algorithms

Primary LanguageJupyter Notebook

Dataset

The dataset is taken from UK Ecommerce business repository. It has customerID, cost to company, customer revenue, quantity of products purchased in a year, invoice dates and totalsales.

Domain

  • Retail
  • Ecommerce
  • FMCG
  • Finance
  • Healthcare

Objective

  • Customer revenue analytics
  • Customer segmentation
  • Customer lifetime value analytics
  • Customer churn prediction
  • Time Series analytics

Libraries used

  • Python ( Sklearn, Pandas, numpy)
  • Data Visualization ( Plotly, Seaborn)
  • Machine learning clustering algorithms ( Kmeans)