Summary
Eric Burdett is a Senior Data Scientist with nine years of experience applying machine learning and software engineering to real-world historical and public-health problems. He builds end-to-end deep learning pipelines—using TensorFlow and PyTorch—to extract information from handwritten and semi-structured documents, enabling large-scale genealogy and pandemic-era research. At Ancestry and during graduate research at BYU he combined backend engineering (NodeJS, Java, Spring Boot), big data tools (HDFS, Spark), and database expertise to move models into production and support analytics. He has led and mentored research teams, created training materials and Colab tutorials, and coordinated external partnerships to scale document-analysis services. His work on extracting causes of death from historical death records demonstrates a practical interest in creating datasets that can inform epidemiological and policy research. Based in Provo, Utah, he pairs rigorous academic training (MS and BS in Computer Science, near-perfect GPAs) with a track record of shipping impactful systems.
9 years of coding experience
5 years of employment as a software developer
Brigham Young University-Idaho
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Brigham Young University