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Speaker "Long Pei" Details Back

 

Topic

Data-driven methods for improving conversion and user engagement.

Abstract

Real-time, large scale data analytics has been widely used for business decision making. With reference to both user profiles and previous behaviors, customer preference could be better understood and iteratively help audience targeting as well as personalized recommendations.

Profile

Long is a seasoned applied researcher and data scientist. He works at LinkedIn with cross-functional teams to identify business opportunities, optimize product performance and go-to-market strategy.
He develops data-driven analysis workflow and machine learning models to drive member value and customer success. Before LinkedIn, he works in e-commerce field as machine learning data scientist, he had deep expertise and domain knowledge in ads bidding, personalized recommendation and fraud detection etc.