David Dooling
Summary
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SeniorDavid Dooling is an RF data analyst and former physicist with 13+ years applying advanced quantitative methods to national security, healthcare, and commercial data problems. Trained as a theoretical particle physicist (PhD, Brown) and a former Los Alamos technical staff member, he translates complex physics and big-data literatures into actionable intelligence and machine-learning solutions. He has led data-science efforts from senior analytic roles at the Institute for Physical Sciences to principal data scientist at RS21, and built predictive models for oncology using SEER–Medicare linked data. Comfortable working at the intersection of domain expertise and engineering, he blends deep modeling rigor with practical deployment experience in government and private sectors. Based in the Albuquerque–Santa Fe area, he brings a track record of turning high-dimensional scientific problems into decision-ready products.
14 years of coding experience
Github Skills (200)
gcp10
ruby10
dns10
dockerfile10
oci-image10
dns-record10
ecosystem10
external-dns10
golang10
developer-tools10
cli10
route5310
kubernetes10
container10
dsl10
Programming languages (15)
Github contributions (5)
atomist-recycling/spring-boot-hazelcast-server
Dec 2016 - Jun 2018
Contributions:2 releases, 2 PRs, 7 pushes in 1 year 6 months
spring-boothazelcastatomistspringjava
atomist/sdm-base
Mar 2019 - Feb 2021
Base Docker image for Software Delivery Machines
Contributions:1 release, 14 pushes, 3 branches in 1 year 10 months
docker-imagemachinesdockerdocker-base-imagesoftware-delivery
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