Katherine Yee
Associate Manager, Analytics Products
Evanston, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolKatherine Yee is an analytics and machine learning leader with 11 years of experience building production-ready data solutions and leading cross-functional teams. Currently an Associate Manager for Analytics Products at AbbVie, she blends hands-on ML and data engineering—ranging from OCR-driven healthcare record digitization on Google Cloud to anomaly detection web apps—with product delivery and stakeholder communication. Her background includes consulting work that combined ETL, backend Python development, and enterprise network deployments, and she’s contributed to the widely used cloud-init project improving docs, networking schema validation, and test reliability. Trained at MIT and Northwestern (MS in Machine Learning and Data Science), Katherine pairs technical depth with a creative edge from earlier design and VR game development roles, enabling pragmatic, user-focused analytics solutions.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Humanities and Engineering concentrated in Computer Science and Theater Arts, Bachelor of Science - BS, Humanities and Engineering concentrated in Computer Science and Theater Arts at Massachusetts Institute of TechnologyHigh School Diploma, 2016, High School Diploma, 2016 at John Burroughs SchoolMaster of Science - MS, Machine Learning and Data Science, Master of Science - MS, Machine Learning and Data Science at Northwestern University
Github Skills (15)
unit-testing10
network-configuration10
test-integration10
test-unit10
python10
cloud-init10
documentation10
integration-testing10
testing10
cicd9
yaml9
schema-validation9
github-ci8
githubaction-workflow8
fest4
Programming languages (3)
Github contributions (5)
canonical/cloud-init
Aug 2023 - Sep 2024
Official upstream for the cloud-init: cloud instance initialization
Role in this project:
DevOps Engineer & Technical Writer
DevOps Engineer & Technical WriterContributions:26 reviews, 21 PRs, 63 comments in 1 year 1 month
Contributions summary:Katherine primarily contributed to improving the cloud-init documentation and refining its behavior across different distributions. Their work involved adding examples to user-data configuration, creating new schema validation features for network configuration, and adding logging to facilitate debugging. They also corrected test failures in the integration tests, including issues related to missing tokens and incorrect netplan rendering. Their contributions showcase their expertise in testing, troubleshooting, and documentation, and demonstrate knowledge of the cloud-init project's configuration and deployment across a variety of platforms.
gcppythonagnosticinfrastructure-managementupstream
catmsred/cloud-init
Jun 2023 - Apr 2024
Official upstream for the cloud-init: cloud instance initialization
Contributions:1 PR, 80 pushes, 21 branches in 10 months
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