Gregory Imholte
Data Scientist
Renton, Washington, United States
Summary
👤
Senior🎓
Top SchoolGregory Imholte is a data scientist with 14 years of experience applying advanced statistical modeling and machine learning to operational and clinical problems. He blends research-grade Bayesian and time series methods (ARIMA, ETS, LSTM) with pragmatic engineering in Python, R, and SQL to deliver interpretable, domain-driven solutions. At US Anesthesia Partners he built probabilistic demand models and integrated EHR, operations, and revenue data to inform hiring, staffing, and site P&L decisions. Earlier work includes implementing MCMC samplers in C/C++ for biological assays and improving missing-data imputation at Amazon by adapting Gaussian processes and LOWESS. Known for persistence and resourcefulness, he enjoys wrestling with messy production data and is keenly interested in applying LLMs to large, unsolved industry problems. Based in Renton, WA, he combines academic rigor with a track record of measurable business impact.
14 years of coding experience
9 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at University of WashingtonUniversity of Minnesota Twin Cities
Github Skills (8)
tidy4
tsne4
tidymodels3
tidyverse2
parameter-tuning1
r-package1
evolution1
testing1
Programming languages (1)
Github contributions (5)
raphg/iBMQ
Feb 2012 - Oct 2013
Contributions:60 commits in 1 year 8 months
gimholte/rBalm
Mar 2016 - Aug 2016
Contributions:10 pushes, 2 branches in 5 months
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