Floriana Zefi

Senior Machine Learning Scientist


Home2023 SpeakersFloriana Zefi

Speaker Bio

Floriana Zefi works as a Senior Machine Learning Scientist in Booking.com’s Security department. With a Ph.D. in High-Energy Astrophysics from Ecole Polytechnique, France, and prior experience in banking, Floriana brings a depth of knowledge to her role. She primarily focuses on employing machine learning techniques to ensure customer safety, enhance global service delivery, and prevent fraud. Outside of work, Floriana loves sharing her passion for data science through talks and discussions, and she’s always planning her next travel adventure.

Speaker Sessions


How to Enhance Safety and Security with Machine Learning

60 mins
  • Track - Workshop
  • Digital Transformation
  • Premium Ticket Holders Only
  • Security
  • Floriana Zefi

    Senior Machine Learning Scientist


In the vibrant world of global travel technology, Booking.com’s goal is to improve the user experience for millions of travelers as they discover the world. However, this extensive reach also exposes the platform to notable security challenges, necessitating a proactive approach to safeguarding customers, partners and all the stakeholders. In response, Booking.com relies on cutting-edge machine learning (ML) techniques to proactively identify and prevent malicious activities and prioritize safety.

Attendees will have the opportunity to participate in a workshop, learn about real-world scenarios to understand the development and deployment of ML models for fraud prevention and safety assurance.

Session Key Takeaways:

  • Machine Learning Role in Security: Learn how ML enhances security by detecting and preventing fraud, ensuring customer safety
  • Scaling up Machine Learning Projects: Grasp techniques for scaling up and deployment of ML models for security purposes across organisations of different sizes.
  • Customer Experience Boost: Understand how ML-driven security measures build trust and improve the overall customer experience.
  • Empowering Diversity: Discover how professionals from diverse backgrounds, including astrophysics and machine learning, play crucial roles in shaping innovative security solutions, highlighting the critical value of different perspectives in ML

Who is this session perfect for?

Anyone working in the realm of machine learning who wants to leave with practical knowledge and valuable insights into the evolving landscape of security in the digital age.

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