Summary
Francis Ng is an Associate Solutions Consultant with 11 years of experience building data pipelines and analytics tools to help accounting and talent teams make data-driven decisions. Trained in Cognitive Science and Statistics/Machine Learning at Carnegie Mellon, he blends rigorous experimental thinking with practical SQL, Python, Alteryx, and PowerBI solutions to automate reporting and validate financial data. At KPMG he led cross-functional pipeline projects and automated weekly reporting for talent acquisition, and now applies that expertise at Snowflake to aggregate client data at scale. He’s published cognitive research involving online experiments with 100+ participants, reflecting a lasting interest in human-centered research methods that inform his approach to data problems. Beyond day-to-day work he maintains side projects that explore applied data science, demonstrating a continual drive to translate research-minded curiosity into production-ready systems.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree Cognitive Science with an Additional Major in Statistics/Machine Learning, Bachelor's degree Cognitive Science with an Additional Major in Statistics/Machine Learning at Carnegie Mellon University