Sasha Babayan
Lead Software Engineer at Tableau Software
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSasha Babayan is a Lead Software Engineer at Tableau with seven years of experience building analytics and telemetry systems and progressing from intern to engineering lead within the same product organization. Based in Seattle, she combines strong engineering chops in production analytics with hands-on machine learning integration—she contributed PCA, sentiment analysis, and NLP model deployment scripts to Tableau’s TabPy project, linking Python models directly into Tableau visualizations. Sasha has a solid foundation from a University of Washington computer science degree and early experience integrating large-scale ERP data at Starbucks, which informs her pragmatic approach to data engineering and validation. Known for shipping features like a SPLIT calculated field and automating bulk file classification during her internship, she blends product-minded implementation with careful testing and deployment practices.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science & Engineering, Bachelor of Science (B.S.), Computer Science & Engineering at University of Washington
English, Russian
Github Skills (8)
scikit10
pandas10
machine-learning10
python10
scikit-learn10
scipy9
tableau9
anova8
Programming languages (1)
Github contributions (1)
tableau/TabPy
Mar 2019 - Dec 2019
Execute Python code on the fly and display results in Tableau visualizations:
Role in this project:
Data Scientist
Data ScientistContributions:2 releases, 56 commits, 19 PRs in 9 months
Contributions summary:Sasha primarily contributed to setting up machine learning models within the TabPy framework. Their work involved creating scripts for Principal Component Analysis (PCA), Sentiment Analysis, and t-tests, demonstrating an understanding of model deployment and integration. They utilized libraries like scikit-learn, textblob, and nltk, signifying their expertise in data analysis and natural language processing. Furthermore, the user was responsible for setting up the deployment scripts and integrating these models with a Tableau environment.
python-codepythonanalytical-modelson-the-flyvisualizations
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