Summary
Xindi Wang is a Senior Data Scientist at Fidelity Investments, specializing in recommendation and personalization. He earned a PhD in Network Science from Northeastern University, collaborating with renowned scholars Albert-László Barabási and Tina Eliassi-Rad. At Amazon Alexa AI, he led entity resolution initiatives, including a ranker-based exploration model handling over 500k weekly queries and a graph-based data augmentation approach that boosted accuracy and performance on harder cases. His research spans network science, computational social science, machine learning, and data science, with strengths in ML, deep learning, NLP, and information retrieval. Based in Boston, he brings about seven years of industry experience and a strong academic foundation. He combines theoretical depth with production impact, translating complex network insights into scalable, user-facing personalization systems.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.), Information Science and Technology; Computer Science, GPA: 3.93/4.0, Bachelor of Engineering (B.E.), Information Science and Technology; Computer Science, GPA: 3.93/4.0 at University of Electronic Science and Technology
Doctor of Philosophy (Ph.D.), Network Science, 4.0/4.0, Doctor of Philosophy (Ph.D.), Network Science, 4.0/4.0 at Northeastern University