Henry Jiang is an AI product analyst and data scientist with eight years of experience translating business problems into data-driven solutions across education, cloud, and operations domains. He has built scalable Python and ETL pipelines for high-stakes assessment data, deployed LLM and RAG solutions at IBM that generated multimillion-dollar impact, and automated psychometric reporting and workflows using cloud services like AWS Lambda. Combining a business intelligence background with MS Data Science training from Brown, he bridges statistical rigor and practical product outcomes while optimizing for efficiency and delegation. Comfortable leading cross-functional teams, Henry has a knack for converting legacy SAS workflows to modern Python pipelines and for measuring GenAI’s operational and financial effects. He’s lived in five cities in three years, reflecting adaptability and a networking-first approach that fuels his interest in human-centered analytics.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Brown University
Business Intelligence Analytics and Fintech, Business Intelligence Analytics and Fintech at Creighton University's Heider College of Business
Bachelor's degree International Business, Bachelor's degree International Business at University of Glasgow Adam Smith Business School
High School Diploma, High School Diploma at Cherry Creek High School
Contributions:1 review, 19 PRs, 43 pushes in 10 days
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