Hugo Manuel Proenca
I am a Senior Machine Learning Scientist in the Pricing Department at Booking.com. I specialize in promotion personalization using causal inference and uplift modeling techniques.
I obtained a PhD in Computer Science from Leiden University, where I worked on statistically robust learning for interpretable machine learning models using information theory in collaboration with GE Aviation. I have developed diverse industry experience through positions at Huawei AI Research Labs in Ireland and Silo AI in Helsinki.
Sessions
Are you a machine learning enthusiast looking to dive into the fascinating world of uplift modeling? Do you want to leverage advanced techniques to personalize user experiences and drive business outcomes? Join us for a dynamic session where we transform complex concepts into practical insights you can apply immediately!
Uplift modeling is a cutting-edge approach that goes beyond traditional predictive modeling by estimating the causal effects of treatments on individuals. This makes it the to go framework for personalized marketing, customer retention, and beyond. Our tutorial is designed to provide you with a practical understanding of uplift modeling, complete with real-world Python examples.