Nicole Thompson is a Data Science Manager with eight years of experience applying chemical engineering rigor to AI-driven risk modeling for the renewables insurance sector. At kWh Analytics she leads property-insurance modeling for solar assets, combining climate-aware catastrophe modeling, latest research, and data engineering to price emerging risks that traditional tools miss. Formerly a customer-facing data scientist at an explainable-AI startup, she pairs time series and ML expertise with strong product and Agile delivery skills to turn domain requirements into production-ready models. Her trajectory—from environmental ChemE undergrad to nanoscience research and then data science—reflects an unusual blend of wet-lab, engineering fundamentals, and applied ML that helps her bridge teams across science, software, and business. Off-hours she pursues hands-on challenges (hunter/jumpers, hiking, and teaching herself eclectic crafts), underscoring a practical curiosity that drives fast learning and creative problem solving.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Chemical Engineering, Master's degree, Chemical Engineering at University of Washington
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Case Western Reserve University
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