Amanda Shu

Amanda Shu is a Machine Learning Engineer at Pinterest, specializing in Content Quality since February 2024. Previously, Amanda interned at Toyota Connected North America, focusing on anomaly detection and synthetic data generation using generative AI. Amanda has experience as a Data Analyst in the Technology Development Program at AT&T, where tasks included managing ETL pipelines and developing fraud detection models. Other roles include business intelligence engineering at Cadent, business analysis at Amazon Web Services, and data tutoring at the Halıcıoğlu Data Science Institute. Amanda holds a Master’s degree in Computational Data Science from Carnegie Mellon University and a Bachelor’s degree in Data Science and Economics from UC San Diego.