Benjamin Bridwell

CTS IT Desktop Support Coordinator

Milwaukee, Wisconsin, United States
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Summary

👤
Senior
🎓
Top School
Benjamin Bridwell is an IT operations and desktop support coordinator with 11 years of experience building and streamlining campus-wide technology services at the University of Wisconsin–Milwaukee. He combines hands-on technical troubleshooting and software changeovers with strategic project management, having led the consolidation of multiple IT departments into a single CTS organization and migrated network and policy operations. Benjamin excels at training and developing student technicians—reducing turnover and ticket backlog through improved onboarding, documentation, and performance metrics—and has managed teams of up to 49. He also contributes backend improvements to open-source urban modeling tooling, sharpening analytical and testing rigor in complex systems. Pragmatic and people-focused, he spots process gaps quickly and turns them into operational improvements that scale.
code12 years of coding experience
job5 years of employment as a software developer
bookBachelor's degree, Information Science and Technology (IST), Bachelor's degree, Information Science and Technology (IST) at University of Wisconsin-Milwaukee
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Github Skills (10)

algorithm10
upsampling10
pandas10
subsampling10
sampling10
sampler10
python10
data-analysis9
unit-testing9
statistical-models8

Programming languages (2)

RustPython

Github contributions (5)

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UDST/urbansim

Jul 2014 - May 2017

Platform for building statistical models of cities and regions
Role in this project:
userBack-end Developer
Contributions:32 commits, 5 PRs, 20 comments in 2 years 10 months
Contributions summary:Benjamin primarily focused on improving the `urbansim` platform by modifying core modules related to development and the transition model. They updated the developer module to correctly calculate units based on residential and non-residential square footage, improving the accuracy of unit estimations. Furthermore, the user refactored the transition model, optimizing its performance through the use of a sampling utility. They also addressed debugging and added unit tests to support this effort.
statistical-models
AZMAG/orca

May 2016 - Feb 2023

Pipeline orchestration tool with Pandas support
Contributions:23 pushes, 19 branches in 6 years 9 months
pythonpipelineorchestrationpandas
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