A Machine Learning Case Study based on helping the company target customers by predicting the customer loyalty score based on the transactions data.

This project focuses on analyzing customer lifetime value using various data visualization techniques. By leveraging Python libraries such as Pandas, Seaborn, Plotly, and Matplotlib, the analysis provides insights into customer acquisition costs, revenue generation, conversion rates, and return on investment across different marketing channels.

Web Service: Customer Loyalty Scheme Management

顧客ロイヤリティ遷移を考慮したカスタマージャーニーの中期予測モデル

Sketches Business Model Canvas, discusses A/B testing and randomized control trials (RCTs), codes a proof-of-concept in Python.

An analysis of the customer base of a fictional company called AD Mobile to answer the business question 'how loyal are the customers of AD Mobile?'

Cognos Dashboarding 📈