Henry Milner
Principal Software Engineer at Conviva
Burlingame, California, United States
Summary
👤
Senior🎓
Top SchoolHenry Milner is a Principal Software Engineer with 13 years at Conviva, where he progressed from Senior Software Engineer to Principal, driving scalable systems and cross-functional delivery from Burlingame, CA. He blends deep engineering with data-focused craft, contributing to the popular data8/datascience Python library by improving its Table API and visualization conveniences—evidence of hands-on work in data tooling and pedagogy. A Berkeley-trained technologist who pursued doctoral studies in computer science, Henry pairs rigorous academic curiosity with pragmatic product engineering. Colleagues know him as a dependable technical lead who still contributes code and notebooks for real data problems, and who may simply miss LinkedIn messages because he’s heads-down building better systems.
13 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Unfinished Computer Science, Doctor of Philosophy (PhD) Unfinished Computer Science at University of California, Berkeley
Github Skills (11)
data-manipulation10
pandas10
jupyter-notebook10
python10
data-science10
tabular10
numpy10
data-analysis10
data-visualisation9
data-visualization9
data-visualizations9
Programming languages (7)
Github contributions (5)
data-8/data8assets
Feb 2016 - Dec 2016
Assets for data8.org
Role in this project:
Data Scientist
Data ScientistContributions:347 commits, 341 pushes in 9 months
Contributions summary:Henry's commits primarily focus on data analysis and manipulation within the `data8assets` repository. Their contributions involve creating and modifying Jupyter Notebook files (``.ipynb``) to solve problems related to data analysis. The commit messages indicate that the user is working on homework assignments, suggesting a focus on applying data science techniques to solve problems and work with datasets.
data-analysisdataframestextbookassets
data-8/datascience
Jun 2016 - May 2017
A Python library for introductory data science
Role in this project:Data Scientist
Data ScientistContributions:1 release, 8 commits, 4 PRs in 10 months
Contributions summary:Henry made several contributions to the `datascience` Python library, specifically focusing on improving the `Table` class. Their work included reducing list usage, adding new predicates for string manipulation, and implementing grouped histograms and convenience methods for grouped bar charts. These changes enhance the library's functionality and usability for data analysis tasks.
python-librarydata-analysispythonsciencedataframes
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