Xinyu L.

Xinyu L. is an accomplished data scientist with extensive experience in risk analysis and machine learning. At Wells Fargo, Xinyu evaluated credit risk strategies and developed methods to identify first-party fraud, while also monitoring strategy implementation. Experience at Lawrence Berkeley National Laboratory involved analyzing data transfer behaviors. Xinyu served as a Senior Data Scientist at LinkedIn and Meta, leading multi-quarter projects and improving metrics related to account abuse. Previous roles include Risk Data Scientist at Wish, focusing on fraud prevention and user unblocking strategies, and Data Analyst at Johnson Controls, where Xinyu designed customer segmentation models and managed SQL databases. Xinyu holds a Bachelor's degree in Mathematics and Statistics from the University of Illinois at Urbana-Champaign and a Master's degree in Statistics from the University of California, Berkeley.