Summary
Chengjun Hou is a Data Scientist II with 11 years of experience combining a Ph.D. in Industrial and Systems Engineering with hands-on work across insurance and robotics domains. He is a CAS-certified predictive analytics specialist who builds end-to-end solutions—from ETL and scalable model deployment to deep learning for autonomous mobile robots and optimization-driven simulation pipelines at Amazon Robotics. Chengjun has led cross-functional program qualification, invented ML mocks for simulation, and authored the CRAN package xgb2sql while running a Chinese data science blog, demonstrating a blend of applied research and practical engineering. His background in actuarial modeling, cloud-scalable R/Spark environments, and optimization gives him a rare ability to translate complex probabilistic models into robust production systems.
11 years of coding experience
5 years of employment as a software developer
High School, High School at Hangzhou Xuejun High School
Bachelor's Degree, Mechanical Engineering, Bachelor's Degree, Mechanical Engineering at Shandong University
Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering, Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering at The Ohio State University
English, Chinese