Noah Rottman
Lead Data Scientist @PACE Aerospace & IT
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WORK HISTORY
Lead Data Scientist @PACE Aerospace & IT
CA
Led development of production ML systems for classification and decisioning, expanding feature sets andmodel coverage by 400%- Improved a Bayesian competency grading system from 70% to over 95% accuracy, enabling more reliableuser-level performance assessment and decision support- Built LLM-powered systems using GPT models and curated datasets, and developed evaluation pipelineswith supervised feedback loops to ensure consistent output quality- Designed validation experiments and automated QA processes for ML workflows, preventing model driftand reducing production system errors- Partnered with domain experts, product managers, engineers, and executives to translate model outputs into operational tools and business decisions.
EDUCATION
Queen's University
Bachelor of Applied Science - BASc, Applied Mathematics & Computer Engineering
ABOUT NOAH ROTTMAN
I’m a data scientist and AI engineer experienced in building and deploying machine learning systems in production. At PACE Aerospace and CAE, I led projects using Random Forest models, Bayesian inference, GPT-based summarization, and RAG pipelines for aviation analytics. My work focuses on turning complex data into reliable, real-world applications that drive measurable impact.
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