Brina Seidel
Staff Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolBrina Seidel is a Staff Data Scientist with eight years of experience translating messy real-world data into production ML services that detect fraud, assess data quality, and extract retail insights. She has led and managed cross-functional data science teams at Premise and IBM, shipping GCP-based pipelines and computer vision models that evaluate tens of thousands of user-submitted tasks daily. Now at Shopify she partners broadly to harden platform offerings against bad actors, applying a blend of anomaly detection, NLP, and image-based signals. Her background in economics and policy research (Brookings, UNICEF) gives her a strong grounding in causal thinking and evaluation, which she pairs with hands-on ML engineering to move projects from prototype to reliable service. Known for building pragmatic data schemas and operational monitoring, she focuses on measurable business impact and scalable defenses rather than purely academic metrics.
8 years of coding experience
5 years of employment as a software developer
Master of Science (MS) Data Science Natural Language Processing Track, Master of Science (MS) Data Science Natural Language Processing Track at New York UniversityBachelor of Arts (BA) cum laude Economics and Political Science, Bachelor of Arts (BA) cum laude Economics and Political Science at Columbia University
Github Skills (16)
r-package6
dialogue-systems5
parser5
argparse4
data-science4
semantic4
semantic-parsing4
dedicated3
django3
java2
r2
webdriver2
selenium2
cpp2
python2
Programming languages (4)
Github contributions (5)
brinaseidel/Score_for_Score
Sep 2018 - Jul 2021
A website dedicated to putting gymnastics data to good use. Created with Django.
Contributions:4 PRs, 90 pushes, 3 branches in 2 years 10 months
djangodedicatedpython
brinaseidel/sempre
Apr 2019 - Jun 2024
Semantic Parser with Execution
Contributions:16 pushes in 5 years 2 months
executionsemanticparser
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