Paulina Zheng

Machine Learning Engineer

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Summary

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Senior
Paulina Zheng is a Senior Data Scientist in New York with eight years of experience building and deploying statistical and machine learning solutions across public health and biotech to customer engagement platforms. She combines a Columbia M.S. in Epidemiology and Applied Biostatistics and a strong back-end engineering skillset (Python, SQL, SAS) to translate complex biological and clinical data into production-ready models and features. Her work ranges from RNA-seq and protein-focused ML for drug discovery at Envisagenics to regression and policy-relevant analyses at NYC DOHMH, and she now drives data science at Braze. Known for bridging rigorous biostatistical thinking with pragmatic engineering, she often brings domain-aware feature engineering and reproducible pipelines to production ML.
code8 years of coding experience
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Github Skills (2)

classification4
python1

Programming languages (3)

JavaJupyter NotebookPython

Github contributions (5)

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Contributions:94 commits, 48 PRs, 82 pushes in 15 days
Contributions:247 pushes in 7 days
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