Geoffrey Link is a full stack data scientist with over a decade of experience designing cost-efficient, serverless data platforms and production-grade ML solutions for enterprises across food ERP, IoT, media, and finance. He blends an MBA and a Master of Information and Data Science to bridge strategy, operations, and technology—regularly turning business questions into automated forecasting, personalization, and optimization systems using Python, JavaScript, AWS, and Azure. Geoffrey has a track record of improving performance and lowering costs (e.g., ORC over JSON for 50% throughput gains and spot-instance inference pipelines) while championing continuous deployment and data governance. He pairs deep technical breadth—from NLP, time series, and graph analysis to computer vision and PySpark—with practical engineering choices like serverless event-driven inference, Lake Formation vs Snowflake benchmarking, and Pylint-driven code quality. Colleagues rely on him for clear communication, experiment design, and translating complex data models into operational impact.
10 years of coding experience
4 years of employment as a software developer
Master of Information and Data Science, GPA: 3.9, Master of Information and Data Science, GPA: 3.9 at UC Berkeley School of Information
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Geoffrey Link - FULL STACK DATA SCIENTIST at GLINK DATA INC.