Hannah Whittenberg
Lead Software Engineer at New Relic, Inc.
Portland, Oregon, United States
Summary
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Rockstar🎓
Top SchoolHannah Whittenberg is a Lead Software Engineer based in Portland, Oregon with eight years of experience building backend and full-stack Python and JavaScript applications. At New Relic she leads cross-organizational projects, authors design specs used by multiple product teams, and prototypes instrumentation that improves observability for customers. She’s an active educator and communicator—authoring the book Thinking in Pandas and delivering multiple talks on instrumentation, databases, and pandas performance at PyCon and regional meetups. Her open-source contributions include meaningful improvements to the datascience Python library’s Table class (deep copies, column manipulation, stats enhancements and tests), reflecting a focus on correctness and performance. Comfortable mentoring teams and interfacing with leadership, she blends hands-on coding with system design and a knack for making complex instrumentation approachable.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Electrical Computer Engineering, Bachelor of Science (BS), Electrical Computer Engineering at Oregon State UniversityDiploma, Diploma at Corvallis High School
Github Skills (9)
pandas10
python10
data-science10
numpy10
pytest9
documentation9
testing9
data-analysis9
computer-engineering8
Programming languages (14)
Github contributions (5)
data-8/datascience
Sep 2020 - Sep 2020
A Python library for introductory data science
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 5 PRs, 7 comments in 14 days
Contributions summary:Hannah contributed to the datascience library by implementing and documenting new features for the `Table` class. Their work included adding deep copy functionality, enhancing the `stats` method with documentation and tests, and implementing `move_to_*` methods for column manipulation, along with associated documentation and tests. They also fixed a bug related to the sorting of table columns. Furthermore, they added and refined tests to ensure the correctness of implemented functionalities. Finally, the user bumped the library's version number.
python-librarydata-analysispythonsciencedataframes
hmstepanek/docs-website
Nov 2022 - Dec 2024
Source code and public issue backlog for @newrelic docs. We welcome feedback on the docs in GitHub issues!
Contributions:76 pushes, 26 branches in 2 years 1 month
newrelicfeedbackbacklogwelcome
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