Summary
Kevin Du is a data scientist in the San Francisco Bay Area with a decade of experience applying machine learning and deep learning to real-world problems across insurance, computer vision, and materials science. At Allstate he builds predictive models for life insurance and underwriting, bringing production-minded modeling to a heavily regulated domain. His background includes tuning deep learning models and image pipelines at a vision startup and hands-on GAN and NLP projects from an intensive Metis fellowship. Earlier work in battery materials and nanomaterials research gives him uncommon domain expertise in experimental design, signal processing, and failure analysis that informs robust feature engineering. Comfortable in Python and deep learning frameworks, he focuses on improving model accuracy and efficiency while keeping deployment constraints like model size and speed in mind.
10 years of coding experience
4 years of employment as a software developer
San José State University
Bachelor of Science - BS, Materials Science, Bachelor of Science - BS, Materials Science at University of California, Los Angeles
English, Chinese