Robert Schell is a Senior Data Scientist with six years in AI/ML and a decade-plus background in engineering and regulated healthcare products, currently applying generative and NLP techniques to real-world compliance and surveillance problems. He has led end-to-end model development and lifecycle maintenance—fine-tuning pretrained models for sequence classification, NER, summarization, and translation—while also building decision-support tools for regulatory reporting and adverse event prediction. Comfortable moving between hands-on modeling, production deployment, and executive-facing communication, he consistently delivers ahead of schedule and translates broad business goals into measurable ML outcomes. As founder of a small IT consulting firm, he pairs product-minded engineering with client-focused solutions for SMBs, bringing cloud, web, and AI services to bear. Based in Cary, Illinois, he blends rigorous FDA-regulated process experience with creative problem-solving, making him adept at turning unstructured data into actionable insights.
6 years of coding experience
17 years of employment as a software developer
Bachelor of Science (BS) Industrial Engineering, Bachelor of Science (BS) Industrial Engineering at North Carolina State University
Master of Science (MS) Data Science, Master of Science (MS) Data Science at Northwestern University
NLP with various methodologies using consumer_complaints kaggle dataset
Contributions:51 commits, 2 PRs, 50 pushes in 1 month
nlpkagglecomplaintsdatasetmachine-learning
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