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Data Scientist
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Search Quality Analyst
Electronics Arts 2011 - Dec 2011
Senior Business Intelligence Manager
Evnine & Associates, Inc. 2006 - 2011
Quantitative Researcher
Evnine & Associates, Inc. 2002 - 2003
Securities Trader
Education:
University of California, Berkeley 2004 - 2006
Masters, Master of Arts, Statistics
Oberlin College 1995 - 1999
Bachelors, Bachelor of Arts, Economics, Politics, Law
Lick - Wilmerding High School 1995
Lick - Wilmerding High School
Skills:
R Python Analytics Statistics Analysis Mysql Sql Data Mining Hadoop Business Intelligence Financial Modeling Equities E Commerce Statistical Arbitrage Algorithms Hive Investments Trading Portfolio Management Time Series Analysis
Interests:
Travel Gardening
Languages:
English
Us Patents
Systems And Methods For Determining Navigation Patterns Associated With A Social Networking System
- Menlo Park CA, US Ariel Benjamin Evnine - Oakland CA, US
International Classification:
G06N 5/02 G06Q 50/00
Abstract:
Systems, methods, and non-transitory computer readable media can obtain user navigation data associated with transitions by users between one or more pages associated with a system. Reduced dimensionality user navigation data can be generated based on the user navigation data. A plurality of clusters can be generated based on the reduced dimensionality user navigation data, wherein each cluster of the plurality of clusters corresponds to a user navigation pattern associated with the system.
- Menlo Park CA, US Ariel Benjamin Evnine - Oakland CA, US
International Classification:
G06F 16/9535 G06F 16/9536 G06F 16/41
Abstract:
In one embodiment, a method includes receiving an input of n-grams from a client device, and identifying media items having keywords that match the n-grams from a media-item index that indexes a plurality of media items in association with respective keywords. A media-item score for each of the identified media items is calculated, and one or more of the identified media items having media-item scores greater than a threshold media-item score are returned to the client device.
Systems And Methods For Determining Navigation Patterns Associated With A Social Networking System
- Menlo Park CA, US Ariel Benjamin Evnine - Oakland CA, US
International Classification:
G06N 5/02 G06Q 50/00
Abstract:
Systems, methods, and non-transitory computer readable media can obtain user navigation data associated with transitions by users between one or more pages associated with a system. Reduced dimensionality user navigation data can be generated based on the user navigation data. A plurality of clusters can be generated based on the reduced dimensionality user navigation data, wherein each cluster of the plurality of clusters corresponds to a user navigation pattern associated with the system.
- Menlo Park CA, US Ariel Benjamin Evnine - Oakland CA, US Ashwin Murthy - Palo Alto CA, US Yiyu Li - Mountain View CA, US Konstantine Oleksiyovich Kolomoyskyy - Moraga CA, US Florin Ratiu - Mountain View CA, US
International Classification:
G06N 99/00 G06Q 50/00 H04L 12/58 H04L 29/08
Abstract:
In one embodiment, a method includes sending, through a communications network, several volumes of notifications corresponding to a first notification type to multiple users and several volumes of notifications corresponding to a second notification type to multiple users. The method further determines visitation impacts of the volumes of notifications of the first and second notification types and trains a machine-learning model based on the visitation impacts. The machine-learning model generates an assessment of a likelihood of interaction by a recipient user with each of the notifications.
Techniques For Device Configuration Using Messaging History Information
- Menlo Park CA, US Kunal Nikhil Modi - Fremont CA, US Jonathan David Perlow - San Francisco CA, US Peter Henry Martinazzi - Huntington Beach CA, US Ariel Benjamin Evnine - Oakland CA, US
Techniques for device configuration using messaging history information are described. In one embodiment, an apparatus may comprise a contact list component operative to determine a promotion contact list for the user account; a predicted interest component operative to determine a predicted communication interest for each contact on a promotion contact list; a predicted activity component operative to determine a user predicted likelihood of future activeness on the communication system; determine a contact predicted likelihood of future activeness on the communication system for each contact; and a contact ranking component operative to determine the ranking weight for each contact based on the predicted communication interest for each contact on the promotion contact list, the user predicted likelihood of future activeness on the communication system, and the contact predicted likelihood of future activeness on the communication system for each contact on the promotion contact list. Other embodiments are described and claimed.
- Menlo Park CA, US Ariel Benjamin Evnine - Oakland CA, US
International Classification:
G06F 17/30
Abstract:
In one embodiment, a method includes receiving, an input from a client device corresponding to n-grams; accessing a media-item index that indexes a plurality of media items with their respective keywords, each keyword being extracted from communications made by users of an online social network; identifying media items from the media-item index, each media item being identified based on its associated keywords matching the n-grams corresponding to the input; calculating a media-item score for each of the identified media items based on a number of occurrences in which the media item has been used in communications on the online social network in connection with its matched keywords; and sending, to the client device, data corresponding to the identified media items having a media-item score greater than a threshold media-item score.
Predicting And Facilitating Increased Use Of A Messaging Application
- Wenlo Park CA, US Ariel Benjamin Evnine - Oakland CA, US
International Classification:
H04L 12/58 H04L 29/08
Abstract:
The present disclosure relates to systems and methods for increasing messaging activity in a messaging system. Using the interactions of users with each other and/or with the messaging system, the disclosed systems and methods can predict how likely a pairing of two or more users are to engage in a highly active messaging thread. Based on this prediction, the disclosed methods and systems can, for example, more effectively organize contact lists and conduct promotional efforts associated with messaging features.
Systems, Methods, And Apparatuses For Performing Search Queries
- MENLO PARK CA, US Tuhin Kumar - San Francisco CA, US Junfeng He - Fremont CA, US Ariel Benjamin Evnine - Oakland CA, US Christina Joan Sauper - San Francisco CA, US Zhongxian Chen - Fremont CA, US Christine Morck Rode - San Francisco CA, US Sadi Sufi Khan - Mountain View CA, US Kathryn Elizabeth Hymes - Mountain View CA, US
International Classification:
G06F 17/30 H04L 29/06 H04L 29/08
Abstract:
Exemplary methods, apparatuses, and systems for processing a search query of a user are detailed. For example, a search query may be received from a user at a social networking system, processed to generate a search result of a plurality of entity result cards and each result card that each include a plurality of order comments about the entity, a plurality of ordered images associated with the entity, contact information for the entity, wherein the comments and images take into account information about the user stored at the social networking system, and a result send to the user.
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