Nicholas Robertson
Customer Success Manager at GPS Insight
Phoenix, Arizona, United States
Summary
👤
Senior🎓
Top SchoolNicholas Robertson is a Customer Success Manager with 11 years of professional experience who blends technical curiosity with client-focused delivery. Currently based in Phoenix and studying Human Systems Engineering at Arizona State University, he brings hands-on product engineering experience from Optilab where he led quality assessment and customer documentation for optical components. Comfortable at the intersection of engineering, sales, and operations, Nick has also held roles in security and hospitality that sharpened his attention to process, client relations, and service reliability. He pursues cloud computing and circuitry projects outside work, reflecting a practical maker mindset that complements his academic focus. Known for balancing full-time work and study while building durable professional relationships, he prioritizes realistic problem-solving and optimistic teamwork. Nick is focused on leveraging technical skills and customer empathy to drive measurable outcomes for future employers and projects.
11 years of coding experience
2 years of employment as a software developer
Computer Software Engineering, Computer Software Engineering at Ira A. Fulton Schools of Engineering at Arizona State UniversityHigh School Diploma, General Studies, High School Diploma, General Studies at Deer Valley High SchoolBachelor of Engineering - BE, Biomedical/Medical Engineering, Bachelor of Engineering - BE, Biomedical/Medical Engineering at Glendale Community CollegeAssociate of Arts and Sciences - AAS, Accounting and Business/Management, A+, Associate of Arts and Sciences - AAS, Accounting and Business/Management, A+ at Phoenix CollegeBachelor of Engineering - BE, Biomedical/Medical Engineering, Bachelor of Engineering - BE, Biomedical/Medical Engineering at DeVry University
Github Skills (48)
webgl10
plotly-dash10
visualization10
dashboard10
python10
linux10
linux-kernel10
classifiers10
interactive10
jupyter-notebook10
regl10
plotly10
data-science9
pytorch9
semi-supervised-learning9
Programming languages (6)
Github contributions (5)
jjrob13/sklearn_cotraining
Feb 2016 - May 2017
An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit-learn classifiers.
Contributions:14 commits, 4 PRs, 13 pushes in 1 year 2 months
classifiersscikit-learnsemi-supervised-learning
jjrob13/IOT_Education
Nov 2015 - Apr 2016
Contributions:44 pushes, 2 branches in 5 months
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