Gauri Powale
Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolGauri Powale is a data scientist with 8 years of experience applying advanced analytics and end-to-end machine learning to production problems from a cloud-native infrastructure perspective. Based in Washington, D.C., she progressed from tools and infrastructure engineering into data science at D2iQ, blending ML model development with deep operational knowledge. Her background includes significant DevOps contributions to the widely used DC/OS project, where she enhanced build automation, cloud deployment docs, and testing for networking and logging. Trained in physics and applied mathematics at UC Berkeley, she brings a researcher's rigor to feature engineering and model validation, with earlier astrophysics research that sharpened her quantitative intuition. Comfortable bridging data science and engineering, she focuses on reproducible, scalable solutions that integrate smoothly with cloud infrastructure. Colleagues rely on her ability to translate complex signals into actionable insights while keeping deployment and automation practical.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at University of California, Berkeley
Github Skills (14)
build-engine10
bash10
build-tools10
infrastructure10
docker10
cloud-infrastructure10
buildr10
dcos10
dockers10
cicd9
python9
cluster-computing8
clustering8
pytest8
Programming languages (5)
Github contributions (5)
dcos/dcos
Nov 2017 - Sep 2018
DC/OS - The Datacenter Operating System
Role in this project:
DevOps Engineer
DevOps EngineerContributions:22 commits, 19 PRs, 53 comments in 9 months
Contributions summary:Gauri's commits primarily focus on infrastructure and automation aspects within the DC/OS project. Their contributions involve modifying build scripts, including changes to virtual environment setup and the integration of custom check bins, indicative of build process management. The user also updated configuration files and documentation links related to cloud deployments, particularly for Azure and AWS, demonstrating an understanding of cloud infrastructure. Furthermore, the user's changes to test files and the implementation of features for testing logs and networking further points to configuration and testing for infrastructure.
kernelvdiisolationpythondcos
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