Nick Cruickshank is a Senior Data Analyst with six years of experience turning complex datasets into actionable insights, currently driving supply-demand modeling and forecast accuracy for Headspace's therapy business. He has a strong track record in time series forecasting—building LSTM multivariate models in PyTorch that improved accuracy by 18% and reduced runtime from hours to minutes, alongside SARIMA and exponential smoothing solutions for client-level demand. Nick pairs technical fluency (Python, PyTorch, SQL, Looker, Azure, PowerApps) with operational impact, having automated capacity allocation to save 40+ weekly man-hours and built dashboards that inform key performance decisions. His background in pharmaceutical quality control and academic research gives him a meticulous, compliance-minded approach to data and a knack for operationalizing noisy, regulated data sources. Based in Madison, WI, he blends rigorous modeling with pragmatic engineering to deliver faster, more reliable forecasts that directly influence workforce planning and business outcomes.
6 years of coding experience
7 years of employment as a software developer
BS Neuroscience with Chemistry Minor, BS Neuroscience with Chemistry Minor at University of Vermont
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
High School Diploma, High School Diploma at Medfield High School
MS Pharmacology Pharmacology, MS Pharmacology Pharmacology at The Robert Larner, M.D. College of Medicine at The University of Vermont
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