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Solving Business Problems with ML Techniques

A short project to showcase my knowledge of solving business problems using data science and machine learning techniques:

  1. Business Metrics - Monthly KPIs: Revenue, Growth Rate, Active Orders, Average Revenue per Order
  2. Consumer Metrics - Cohort analysis, Retention rate, Churn rate, Cohort-based retention rate
  3. Customer Journey - From acquisition to activation, engagement and retention
  4. Customer Growth - Attribution, Channel optimisation (First-touch, Last-touch, Markov Chain)
  5. Customer Segmentation - Clustering and Segmentation (using RFM Recency, Frequency and Monetary Value)

The files are in different formats:

  1. Jupyter Notebook - Highly recommended, click here to read now

  2. PDF - Click here to read

Please use as deem fit.