This course combines a few most applicable use cases of modeling behavior of customers. It includes churn modeling, campaign optimization, CLV modeling, customer segmentation, applications of graph modeling with real-life examples from banking, (e)retail, telecom. This course expects basic knowledge of ML/data science concepts and exposure to marketing functions of organizations.
- Power BI
- Data manipulation basics
- Marketing basics
Level of complexity of course
Mr. Liubomyr Bregman
Liubomyr is a Data science team lead with experience in multiple industries as a consultant and expert. Currently, he is employed in Amazon EU in Luxembourg where Liubomyr leads the development and product management of a few complex network forecasting tools for the needs of the supply chain. Previously he served as a data science consultant of banks, fin sector, telecom, and retail companies in PwC Data Analytics.
Fields of interests: Anomaly detection, Causal ML, Networks
Contacts: [email protected]