Grace Gu is a Senior Data Analyst based in Chicago with 6 years of hands-on experience turning complex insurance and geospatial data into actionable insights for executive decision-making. She builds production-ready, cloud-native data science pipelines (AWS/GCP) and AI-powered visualization tools, translating technical findings into clear guidance for non-technical stakeholders. At Tokio Marine Highland she led cross-divisional initiatives, automated data flows with Python and PostgreSQL on AWS, and applied advanced location-based risk analysis and computer vision components to underwriting and claims. Trained in Applied Data Science (University of Chicago) with dual undergraduate backgrounds in Mathematics and Computer Science, she combines rigorous quantitative foundations with practical product delivery. An adventurous collaborator who enjoys connecting with diverse people, Grace frames data not just as numbers but as stories about people and risk.
6 years of coding experience
5 years of employment as a software developer
Statistics, Statistics at Stanford University
Civil Engineering, Civil Engineering at Shanghai Institute of Technology
Master of Science - MS, Applied Data Science, Master of Science - MS, Applied Data Science at University of Chicago
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Miami
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