About this Presentation: This presentation will discuss how eHarmony use Data Science as an optimizing tool, enabling the company to develop and learn from data provided to develop eHarmony’s core matchmaking algorithms. Vaclav Petricek explains how they take the data and what they do with it to make eHarmony one of the best dating sites online today.
Vaclav Petricek, Principal Data Scientist, eHarmony
Vaclav Petricek is a Principal Data Scientist at Santa Monica-based eHarmony where he is responsible for optimization and machine learning for eHarmony’s core matchmaking algorithms. He also runs a series of invited ML talks at eHarmony, part of the Los Angeles Machine Learning Meetup. Prior to eHarmony, Vaclav was Visiting Researcher at University College, London where his research spanned recommender systems, social networks, web structure and online auctions. Prior to that he has worked at several Czech internet startups. Vaclav earned his PhD in Computer Science and a Masters in Distributed Systems from Charles University in Prague, Czech Republic.