Kyli Mckay
Data Scientist - Corel And Parallels
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolKyli Mckay is a data scientist with nine years of experience who specializes in customer-centric modeling and end-to-end data pipelines, currently shaping churn and CLV strategies for Corel and Parallels. She combines hands-on ML production work—building LTV and churn models—with practical experimentation and statistical analysis to measure pricing and feature impact. Prior roles at Backcountry.com and academic research at the University of Utah show she can both operationalize customer data platforms (Amperity, BigQuery) and prototype novel ML-driven visualization tools. Her background as an SDET and QA lead gives her a rare blend of rigorous engineering discipline and scalable analytics delivery. Based in Portland, she’s driven by improving customer experience through data-informed decisions and has repeatedly translated complex data integrations into actionable retention and marketing strategies. An understated strength is her history of building training programs and documentation to raise team capability alongside technical solutions.
9 years of coding experience
8 years of employment as a software developer
Associate of Science (A.S.), Associate of Science (A.S.) at Utah Valley UniversityThe University of UtahBachelor's degree Biochemistry, Bachelor's degree Biochemistry at Brigham Young University
English
Github Skills (13)
ui-testing10
test-automation9
visualization9
appium9
windows-application9
windows8
rendering4
3d-graphics3
renderer3
python3
webgl2
opengl2
gltf1
Programming languages (4)
Github contributions (5)
SCIInstitute/dSpaceX
Sep 2018 - Aug 2020
dSpaceX Visualization Library and Tool
Contributions:1 release, 210 commits, 26 PRs in 1 year 10 months
visualization-libraryvisualization
kylinmb/MountainProjectRecommender
Mar 2020 - May 2020
Contributions:12 commits, 11 pushes, 1 branch in 1 month
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