Allison Portis
Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAllison Portis is a software engineer at Databricks with seven years of experience blending analytical rigor and creative design to solve complex engineering puzzles. A Cornell CS graduate and former teaching assistant in functional programming, she pairs strong academic foundations with production experience at Bloomberg and feature engineering contributions like the autonormalize library. Comfortable across languages and performance-sensitive systems, she has worked on order trade entry performance and large-scale data tooling. Based in San Francisco, Allison brings a left-brain/right-brain approach—applying mathematical precision and aesthetic thinking—to craft efficient, well-designed solutions that reuse and recombine proven patterns in novel ways.
6 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Punahou SchoolBachelor of Science - BS, Computer Science, Senior, Bachelor of Science - BS, Computer Science, Senior at Cornell University
Github Skills (10)
scikit-learn10
automatic10
machine-learning10
feature-engineering10
automl10
automated-machine-learning10
python10
feature-selection10
normalization10
data-science9
Programming languages (1)
Github contributions (3)
alteryx/autonormalize
Jun 2019 - Aug 2019
python library for automated dataset normalization
Contributions:3 releases, 103 commits, 20 pushes in 1 month
python-librarypythondatasetnormalizationmachine-learning
Eshan-Agarwal/featuretools
May 2019 - May 2019
An open source python framework for automated feature engineering
Contributions:15 commits in 2 days
pythonautomated-feature-engineeringengineeringpython-frameworkfeature-engineering
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