[Virtual Meetup] Personalized Recommendations w/ Skyscanner

Thanks for your interest in this Dataiku Chicago Meetup! The health & safety of our attendees & speakers is our primary concern. While this currently proves to be a tricky time for public gatherings, Dataiku is still committed to providing great tech content & facilitating discussions in the data science space. As such, we’ve decided to pivot towards online webinars via our partner platform, BrightTalk.

IMPORTANT - RSVP HERE:
https://www.brighttalk.com/webcast/17108/508574?utm_source=brighttalk-sharing&utm_medium=web&utm_campaign=linkshare

Talk Abstract:

Looking for places to travel next in these uncertain times? Interested in finding great deals in safe destinations? Skyscanner's personalized recommendations can save your precious decision time! In this talk, Maria Prosviryakova, Senior Machine Learning Engineer at Skyscanner, will share the journey from a simple yet impactful collaborative filtering model to deep learning-powered destinations recommendations. Maria will touch upon the architecture of the real-time recommender system that relies on ML pipelines and MLflow and is orchestrated using Apache Airflow. She will also discuss challenges faced on the road to production, and how the personalized recommendations increased Skyscanner's engagement metrics.

Speaker Bio:

Maria Prosviryakova is currently working as a Senior ML Engineer at Skyscanner. Maria holds an MS degree in Statistics and has 7+ years of experience working as a data scientist across different industries and locations: finance in New York, e-commerce in Buenos Aires and the travel industry in Barcelona. She now specializes in recommender systems and ML in production.

Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.