James Crotinger

Data Scientist

Salt Lake City, Utah, United States
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Summary

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Senior
🎓
Top School
James Crotinger is a senior data scientist and hands-on engineering leader with over two decades of experience building high-performance software for finance, scientific computing, and IT operations. He has led global teams and shipped complex products—most recently driving anomaly detection, root-cause analysis, and event-correlation capabilities in ServiceNow’s ITOM and Operational Intelligence offerings. Prior to that he architected and managed Numerix’s CrossAsset derivative pricing platform and contributed parallel C++ frameworks at national labs, blending deep applied-math and Monte Carlo expertise with production-grade systems design. Known for translating advanced quantitative models into scalable, low-latency implementations, he brings rare cross-domain fluency from plasma physics research to exotic derivatives and distributed computation. Based in Salt Lake City, he describes himself as a retired manager who continues to code and mentor, favoring pragmatic, agile delivery of technically ambitious features.
code11 years of coding experience
job24 years of employment as a software developer
bookAccounting and Basic Science, Accounting and Basic Science at Barton Community College
bookPhD, Applied Plasma Physics, PhD, Applied Plasma Physics at Massachusetts Institute of Technology
bookBS, Nuclear Engineering, BS, Nuclear Engineering at Kansas State University
languagesSpanish, English
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Github Skills (66)

jni-wrapper10
loess10
wavelet10
regression10
prediction10
clustering10
genetic-algorithm10
econometrics10
regression-models10
statsmodels10
espn10
classification10
decomposition10
hypothesis-testing10
trend10

Programming languages (3)

JavaJupyter NotebookPython

Github contributions (5)

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jcrotinger/pyloess

Apr 2016 - Nov 2019

Contributions:6 commits, 5 pushes, 1 branch in 3 years 8 months
smootherdecompositionpythonsandboxseasonal
ServiceNow/stl-decomp-4j

Feb 2017 - Oct 2022

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.
Contributions:6 releases, 5 reviews, 104 commits in 5 years 9 months
decompositionseasonal-adjustmentdecomposition-algorithmseasonalseasonal-trend-loess
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James Crotinger - Data Scientist