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.