Aravind Sankar

AI Researcher

San Francisco, California, United States9 yrs 7 mos experience

Highly Stable

Key Highlights

PhD candidate specializing in machine learning and data mining.
Published research in top-tier conferences like SIGIR and TheWebConf.
Experience with advanced recommendation systems and graph mining.

Stackforce AI infers this person is a Machine Learning Researcher with expertise in Data Science and recommendation systems.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Data MiningDeep LearningGraph Neural NetworkGraph Neural NetworksGraph miningModelingMulti-channel recommendation systemNeural recommender systemPersonalized recommendationsPythonRepresentation learningSocial platformsStatistical Data AnalysisTensorFlow

About

I'm a PhD candidate in the Database and Information Systems (DAIS) group at the University of Illinois at Urbana-Champaign. My research interests span machine learning, data mining, graph mining, and deep learning. Specifically, my research work involves modeling user behavior in social interaction platforms and recommender systems.

Experience

Snap inc.

Research Intern

May 2020 – Aug 2020 · 3 mos · Santa Monica, California, United States

I worked on designing Graph Neural Networks (GNNs) for friend suggestions (people-you-may-know) in social platforms. Our work has been published at TheWebConf'21.

Graph Neural NetworksSocial platformsMachine Learning

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2 roles

Research Intern

May 2019 – Aug 2019 · 3 mos · Palo Alto

Designed a neural recommender system to generate personalized item recommendations (e.g., restaurants, events) for groups of users. Our work has been published at SIGIR 2020.

Neural recommender systemPersonalized recommendationsMachine Learning

Research Intern

May 2018 – Aug 2018 · 3 mos · Palo Alto, California

Graph Neural Network (GNN) framework for representation learning in dynamic graphs with temporally evolving structures. Our work has been published at WSDM 2020.

Graph Neural NetworkRepresentation learningMachine Learning

University of illinois at urbana-champaign

PHD Candidate

Aug 2016 – Feb 2022 · 5 yrs 6 mos · Urbana-Champaign, Illinois Area

Adobe

Research Intern

May 2014 – Jul 2014 · 2 mos · Bengaluru Area, India

Developed a multi-channel recommendation system that integrates information from multiple channels including in-store, online purchase, and online browsing behaviors.

Multi-channel recommendation systemMachine Learning