Name: Data Drive
Start: 2018-11-06T18:30:00+02:00
End: 2018-11-06T20:30:00+02:00
Location: Fiverr HQ

Fiverr's data eco-system has been growing exponentially in the past year, making an impact in every aspect of the business. Join us as we share our most exciting developments and achievements.

The meetup will be held in Hebrew.

Agenda:

18:30 - Gathering, snacking & drinking

19:00 - Text2Gig
By: Dor Amir, Data Scientist, Fiverr.

19:15 - Leveraging Fiverr's search engine
By: Yuval Ben-Zion, Data science team leader, Fiverr.

19:30 - Real-time session conversion
By: Yuval Ben-Zion, Data science team leader, Fiverr.

19:45 - Exposure Model
By: Tomer Ron, Data Scientist, Fiverr.

20:00 - Data Driven Growth & Development in Waze Carpool
By: Orna Amir, Algos and Data science team lead, Waze.

20:40 - Mingling, drinking & snacking

---------------------

Text2Gig / Dor Amir

In this talk, I’ll tell you how we created a new approach for recommendation at Fiverr, based on a commonly used NLP algorithm. This new method has been developed into a set of algorithms that are currently used in multiple solutions throughout the product.

Leveraging Fiverr's search engine / Yuval Ben-Zion

There are millions of unique search queries running in Fiverr's search engine, which can be a gold mine. In this session I'll talk about how we use these queries to increase interest outside the marketplace, using a statistical model for predicting their CTR and conversion rate, and leveraging this input for our online campaigns and bidding processes.

Real-time session conversion / Yuval Ben-Zion

In this age, e-commerce customers make decisions very fast, which means you have to strike while the iron is hot. In this talk I'll describe how our deep learning model consumes live streaming events per user’s session (visit), for predicting the probability of a purchase in that current session, and trigger real-time product interventions.

Exposure Model / Tomer Ron

With thousands of new services being created every day, how do we know which ones to promote? In this talk, I’ll give an overview of our decision making process and why we chose the Thompson Sampling model.

Data Driven Growth & Development in Waze Carpool / Orna Amir

Waze currently supports 100 Million users monthly and growing. Despite our scale, there are still places where we would like to grow and need to look for creative solutions for learning in places where data is still sparse.

In this talk I will discuss how we innovate using the full spectrum of data science tools including analytics tools and machine learning models to support the development and growth of our exciting new product Waze Carpool. Specifically I will explain how we use analytic tools and clustering techniques to learn commute patterns that enrich our understanding of how and where to launch our new product and how we build ML models to find the optimal match between riders and drivers.

Bio:

Dor Amir, Data Scientist at Fiverr. His work focus on recommendation and personalization.

Yuval Ben-Zion, Data science team leader at Fiverr. His team is dealing with cross-company and dedicated solutions in the field of machine learning and statistical modeling.

Tomer Ron, Data Scientist at Fiverr production team. Prior to joining Fiverr, he worked at myThings and ICQ.

Orna Amir leads the Algorithms and Data Science Team at Waze, responsible for developing algorithms and ML models served in production in a variety of domains. Orna holds a Ph.D. in Applied Mathematics from the University of Arizona and has over 15 years of experience in statistical modeling, machine learning, simulation and optimization in a wide range of applications including medical devices, pharmaceuticals, online advertising and navigation.

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