Scott Donohoo
Specialist Solution Architect at Databricks
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolScott Donohoo is a Specialist Solution Architect with over two decades of IT experience and more than a decade focused on data science, MLOps, and cloud AI platforms. He helps organizations turn ML prototypes into reliable, business-driving production systems, having delivered customer-facing solutions at Databricks and led Azure ML, Cognitive Services, and OpenAI engagements at Microsoft. His background spans enterprise software engineering, big data, and support-led product expertise from roles at IBM and Revolution Analytics, giving him a practical lens on operational reliability and performance. Scott pairs an MS in Applied Statistics and a BS in Computer Science with hands-on experience across on-prem and cloud stacks, enabling him to translate statistical models into scalable architectures. Colleagues value his blend of pre-sales technical leadership and deep support/product experience, which often surfaces subtle operational risks before they reach production. Based in Pittsburgh, he brings a pragmatic, end-to-end view of MLOps that balances rapid experimentation with production-grade engineering.
11 years of coding experience
21 years of employment as a software developer
Master of Science - MS, Applied Statistics, Master of Science - MS, Applied Statistics at Texas A&M University
Github Skills (36)
mlops-project10
machine-learning10
azure-machine-learning10
azure10
mlops-workflow10
microsoft9
command-line-interface9
devops9
mlops9
deep-learning9
azure-cli8
data-science8
cli7
command-line6
nodes5
Programming languages (5)
Github contributions (5)
microsoft/AzureML-R-template
Oct 2020 - Sep 2022
Patterns and examples for running R code with Azure Machine Learning
Contributions:56 commits, 32 PRs, 56 pushes in 1 year 11 months
data-sciencemachine-learningazure-machine-learningpatternsazure
sdonohoo/mslearn-mlops
Jul 2022 - Jul 2022
Contributions:42 PRs, 47 pushes, 3 branches in 1 day
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