Yinxi Zhang

Yinxi Zhang is a seasoned data scientist with extensive experience in machine learning and data analysis across multiple industries. Currently serving as a Staff Data Scientist at Databricks, Yinxi Zhang specializes in teaching scalable machine learning and deep learning practices while collaborating with clients to develop comprehensive ML pipelines and AI solutions. Previously held positions include Principal Data Scientist at Equinor, where predictive maintenance models for wind turbines were developed, and data scientist roles at Baker Hughes, focusing on tool interpretation and modeling. Yinxi Zhang began the professional journey in academia as a Research Assistant at the University of Houston and has held internship roles that further strengthened technical expertise in data processing and simulation. Yinxi Zhang holds a Ph.D. in Well Logging from the University of Houston and a Bachelor's degree in Automation Engineering from Sichuan University.