Roland Webster
AVP, Data Science
Denver Metropolitan Area United States
Summary
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Top SchoolRoland Webster is an AVP of Data Science with eight years of experience building predictive models and production analytics for insurance and financial services. He combines strong mathematical training with hands-on fluency in R, Python, SQL and VBA to deliver end-to-end solutions from data wrangling and stochastic reserving models to interactive R Shiny dashboards and automated reporting. His career spans actuarial, data engineering and data science roles at major insurers where he translated complex claims and pricing data into actionable insights and explainable models for stakeholders. Roland is comfortable with both classical statistical approaches and tree-based machine learning, and he has a track record of implementing code-first processes that improved repeatability and governance. Based in the Denver area, he’s also a self-described “big coffee nerd,” which hints at a curious, detail-oriented work style beyond the technical skill set.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics with a Year in Industry, Bachelor of Science (B.S.) Mathematics with a Year in Industry at University of Kent
Github Skills (10)
machine-learning3
artificial-neural-networks3
database2
tensorflow2
neural-network2
maintenance2
deep-learning2
python-bindings2
python1
postgresql1
Programming languages (3)
Github contributions (5)
RolandMWebster/NeuralNetwork
Jun 2018 - Jan 2019
Building neural network 'from scratch'
Contributions:36 commits, 6 PRs, 30 pushes in 7 months
deep-learningmachinelearningneural-network-from-scratchneural-networksmachine-learning
RolandMWebster/RandomForest
Aug 2018 - Apr 2019
Building a random forest model from scratch
Contributions:2 PRs, 38 pushes, 5 branches in 7 months
scratchrandom-forestmachine-learningforest
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