Nicholas Benavides
Senior Data Scientist
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolNicholas Benavides is a Senior Data Scientist with nine years of experience applying ML and graph-based techniques to fraud detection and product analytics at companies like Sift, SentiLink, and PayJoy. He has a track record of shipping production pipelines—most notably an automated PySpark/GraphFrames fraud-ring detector that surfaced $2.5M monthly for review—and prototyping Neo4j graph products that reduced order fraud by ~30%. Comfortable bridging product, ops, and engineering, he has led root-cause investigations, customer migrations off unstable models, and built tooling to accelerate incident diagnosis. His background includes time in analytics at Thumbtack and research-quality work on time-series augmentation that materially cut false positives in LSTM models. A dual Stanford BS/MS in Management Science & Engineering and Computer Science underpins his ability to move from rigorous modeling to pragmatic, operational solutions. Colleagues describe him as a problem-solver who prefers practical, scalable fixes over theoretical elegance.
9 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at Centennial High SchoolBachelor of Science - BS Management Science & Engineering, Bachelor of Science - BS Management Science & Engineering at Stanford UniversityGithub contributions (5)
nnbenavides/Fine-Grained-Vehicle-Classification
Apr 2019 - May 2020
Contributions:43 commits, 44 pushes, 1 branch in 1 year
nnbenavides/Sarcasm-Detection
May 2019 - May 2020
Contributions:74 commits, 73 pushes, 1 branch in 1 year
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