Elyse Kadokura
Senior Data Scientist
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolElyse Kadokura is a Senior Data Scientist with eight years of experience applying epidemiology-rooted analytics, statistical modeling, and machine learning to solve public health and retail challenges. She has built production ML pipelines and forecasting systems at Starbucks and Getty Images, and developed deep-learning NLP models to detect opioid overdoses for Washington State’s Syndromic Surveillance Program. Comfortable moving from SQL and PySpark to R, Shiny, and Python deep learning stacks, she pairs technical rigor with stakeholder storytelling to drive adoption and change. Elyse’s background in public health and community-focused roles informs her people-first approach to analytics, exemplified by leading inclusion initiatives and living-wage advocacy. She combines operational pragmatism—like automating interactive reporting and data-quality monitoring—with a proven ability to translate complex models into business and policy impact.
8 years of coding experience
6 years of employment as a software developer
Master’s Degree, Epidemiology, Master’s Degree, Epidemiology at University of WashingtonB.S. Nutritional Sciences, Health Science, B.S. Nutritional Sciences, Health Science at Boston University
Github Skills (8)
cracking5
machine-learning4
python4
fraud-detection3
fraud-prevention3
deep-learning2
tensorflow1
data-science1
Programming languages (1)
Github contributions (5)
DataCircles/talking_data_fraud_detection
May 2019 - Jun 2019
Cracking the fraud detection challenge
Contributions:30 commits, 17 PRs, 12 pushes in 14 days
pythondataminingfraud-detectionfraud-preventionmachine-learning
Syndromic/Data-Quality-Committee
Apr 2019 - Jun 2019
Contributions:18 commits, 15 pushes, 1 branch in 2 months
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