Mark B
Member Of The Advisory Board at Voyager Wellness Foundation
Austin, Texas Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMark B is a seasoned analytics and data science executive with over two decades of cross-industry leadership spanning enterprise data architecture, ML/AI, product insights, and full lifecycle software development. Currently Chief Data Officer at Public Consulting Group and an advisory board member at Voyager Wellness Foundation, he blends strategic governance and data monetization with hands-on predictive modeling, NLP, and customer experience optimization. His background includes senior roles in healthcare, insurance, retail, and tech where he built BI/OLAP platforms, enterprise MDM, and decision-science teams that tied analytics to measurable ROI. Known as a pragmatic tinkerer—“sysadmin, developer, dad”—he pairs operational rigor from CIO and program-management roles with a curiosity for automation and RPA. Mark’s work often focuses on translating noisy customer and workforce signals into validated KPIs and product improvements that drive retention and growth.
8 years of coding experience
23 years of employment as a software developer
Bachelor of Science (B.S.), Applied Mathematics, Bachelor of Science (B.S.), Applied Mathematics at Empire State UniversityMaster of Science (M.S.) , Strategic Analytics, Master of Science (M.S.) , Strategic Analytics at Brandeis University
Github Skills (18)
spectrum10
lsf10
ibm-cloud9
aws9
workload9
rtm8
vms8
scaling8
terraform8
solaris7
health7
server6
hybrid6
health-check6
hpc6
Programming languages (2)
Github contributions (5)
IBMSpectrumComputing/lsf-kubernetes
Mar 2019 - Jan 2021
Home of the HPC Compatible Kubernetes Integration for IBM Spectrum LSF
Contributions:40 commits, 1 PR, 37 pushes in 1 year 9 months
kubernetes-compatiblelsfkubernetesspectrumibm
IBMSpectrumComputing/lsf-hybrid-cloud
Aug 2018 - Jun 2022
This repository contains sample code to help you extend your LSF cluster to the cloud. It provides fully functional examples of how to setup Hybrid LSF clusters on both IBM Cloud and AWS. It includes Resource Connector configuration to allow automatic scaling of the LSF cloud cluster based on the workload demand. Note: This is sample code.
Contributions:2 reviews, 70 commits, 6 PRs in 3 years 11 months
clustersconnectoribm-clouddemandcloud
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