PyData Amsterdam 2024

Matteo Romeo

I am a Machine Learning Engineer at Booking.com. In my role, I focus on creating personalised discounts for customers, carefully balancing budget constraints with advanced machine learning techniques.
I hold a Master's degree in Data and Machine Learning from Politecnico di Milano in Italy, which has provided me with a strong academic foundation in Computer Science that I love to apply in the ML realm. At Booking.com, I support scientists by developing and maintaining tools that streamline the experimentation, deployment, and monitoring of machine learning models, ensuring these processes are robust, efficient and effective.
Before joining Booking.com, I gained valuable experience at DAZN, where I contributed to developing user facing content recommendation engine that aimed at enhancing user experience through personalised suggestions. I've a past experience as ML consultant, where I advised various clients on integrating machine learning solutions to improve their business operations.

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Sessions

09-18
15:30
90min
Uplift Modeling for Marketing Personalization in Practice
Matteo Romeo, Hugo Manuel Proenca, Felipe Moraes

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.

Rokin Room - OBA Oosterdok