Summary
Trevor Nims is a data scientist based in Seattle with eight years of technical and project leadership experience and a Master’s in Data Science from the University of Washington. He has led cross-border teams to deliver data engineering, analytics, and ML solutions, including sentiment analysis, GPT-based chatbots, and recommendation engines, while translating results into stakeholder-facing PowerBI dashboards and slide decks. Prior roles in construction project management and as a CS teaching assistant give him practical strengths in budgeting automation, process optimization, and clear mentoring of technical audiences. Trevor combines rigorous applied math training with hands-on implementation of production-focused data products and a knack for making complex models actionable. He’s comfortable operating at the intersection of data science and operations—managing people, pipelines, and product requirements to drive measurable business outcomes. A detail not often highlighted: he has built Excel macro-driven budgeting tools and taught Java fundamentals, showing both low-level implementation chops and classroom-style communication.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Applied Computational Mathematical Sciences, Bachelor's degree, Applied Computational Mathematical Sciences at University of Washington