B Cornell is a data scientist with nine years of experience building analytics and ETL solutions primarily in higher education and SaaS environments, currently at Watermark. They progressed from analyst roles into data science, combining Python, SQL, and BI to create single sources of truth, optimize sales and vendor processes, and surface student-focused insights. Early research work in cosmological physics led to a peer-reviewed coauthored paper, demonstrating an ability to translate complex quantitative problems into publishable results. Comfortable managing cross-functional and offshore teams, they blend hands-on coding with program-level coordination to deliver scalable, long-term solutions. Based in Chicago, they bring a researcher’s rigor to practical product analytics and a knack for turning messy institutional data into decision-ready metrics.
9 years of coding experience
7 years of employment as a software developer
B.S., Physics, B.S., Physics at University of California, Davis
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