AI Synergies

Speakers

Théo Verhelst

Researcher

Understanding telecom customer churn with machine learning: from prediction to causal inference 

Retention campaigns are used by telecommunication companies to prevent customer churn, but their effectiveness depends on the availability of accurate prediction models. In this work, we discuss three aspects of a real churn prediction problem in collaboration with Orange : the design of an accurate prediction model, the application of data-driven causal inference and the impact of causally relevant variables.


Biography

Théo Verhelst got his Bachelor in Computer Science (Grande Distinction) from ULB in 2017. Then he took part to the Erasmus program at Southampton University during his first year of the Master. He obtained his Master in Computer science (Grande Distinction) at ULB in 2019. He is interested in topics such as machine learning, causal inference, information theory,  and probability.

Program

Halle Vitree
Research presentations ML
Day 2 - Nov 7th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

More info about our events