Sanjana Gupta
Senior Data Scientist
Tempe, Arizona, United States
Summary
👤
Senior🎓
Top SchoolSanjana Gupta is a Senior Data Scientist with six years of cross-industry experience applying interpretable machine learning and production analytics to retail and healthcare problems. At Circle K she progressed from Data Scientist to senior role driving data-driven decisions for a global convenience retailer, after earlier work as a Salesforce-focused software engineer at GE Healthcare where she led releases and doubled a product’s user base. Her research background from the University of Washington and Microsoft includes an authored PLOS ONE paper on SUIDS using GAMs, logistic regression and survival analysis, reflecting a strength in explainable models for sensitive domains. Comfortable across Python, R and SQL, she blends rigorous research methods with operational delivery—an underappreciated asset is her history of translating complex stakeholder requirements into stable, scalable systems. Based in Tempe, AZ, she brings both software engineering discipline and academic rigor to enterprise data science challenges.
6 years of coding experience
9 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of WashingtonBachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at PES UniversityHigh School Computer Science, High School Computer Science at Delhi Public School - Bangalore SouthMBS Global Experiential Program, MBS Global Experiential Program at Rutgers University
English, Hindi
Github Skills (11)
linear-models6
r-language6
modeling4
r-programming4
machine-learning3
statistical-learning3
replication2
python1
science1
r-package1
data-science1
Programming languages (4)
Github contributions (5)
UW-MSDS-DATA-598-Reproducibility-WI20/gupta-marcaccio-sagar-tullock-usman-replication-project
Jan 2020 - Mar 2020
Reproducibility with R
Contributions:42 commits, 8 PRs, 28 pushes in 1 month
reproducibility
sanjanagupta16/Data557_Statistical_Modeling_Project
Feb 2020 - Oct 2020
Analysis of Romantic Relationships using Statistical Modeling
Contributions:5 PRs, 34 pushes, 2 branches in 8 months
r-programminglinear-modelsstatisticalstatistical-learningmachine-learning
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