Summary
Erik Sorensen is a Staff Data Scientist at John Deere with nine years of experience applying large-scale remote sensing, geospatial data, and ML to agricultural problems that boost producer productivity, profitability, and sustainability. He progressed through roles at John Deere from analytics intern to staff lead, building productionized pipelines with Databricks, Spark, SQL and physically-constrained models that operate on 50+ GB geospatial datasets. Erik holds an MS in Computer Science with a machine learning concentration from Georgia Tech and has taught data science, demonstrating an ability to translate complex models into clear curricula and stakeholder-facing tools. He combines hands-on engineering (Python, R, C#) with product leadership to ship new AI-driven agtech products, and often surfaces non-obvious data quality issues early in projects to prevent downstream errors. Based in Pennsylvania, he is motivated by using ML to help feed the world and routinely bridges research, production, and user needs.
9 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science with Concentration in Machine Learning, Master's degree Computer Science with Concentration in Machine Learning at Georgia Institute of Technology
Bachelor of Science (B.S.) Data Science, Bachelor of Science (B.S.) Data Science at Houghton University
English