Summary
Andrew Kraemer is a Senior Solutions Architect and data scientist with a decade of experience turning massive, messy datasets into production ML systems across finance, healthcare, auto, and telecom. He combines hands-on modeling, MLOps and Azure/Databricks architectures to guide clients from presales demos and PoCs to scalable deployments, and now focuses on helping companies understand and build LLMs. Known for pragmatic problem-solving, he has led fraud-detection, recommender and probabilistic matching projects that saved public agencies and enterprises significant costs. Based in Austin, he pairs a Georgia Tech CS masters and Galvanize data-science training with a background in product-focused analytics, often surfacing unexpected signal from fragmented data sources.
10 years of coding experience
7 years of employment as a software developer
Masters Computer Science, Masters Computer Science at Georgia Institute of Technology
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at Lawrence University
Data Science, Data Science at Galvanize Inc