Andrew Van Benschoten
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolAndrew Van Benschoten is a senior technology leader and director of Advanced Analytics & Insights with 11 years of experience translating complex data into multimillion-dollar business impact. He has built and led large data science organizations and platforms across Fortune 200 companies, founding practices that span MLOps, product management, and enterprise AI strategy. A hands-on engineer at heart, Andrew authored the matrixprofile-ts time series library and contributed algorithmic optimizations to open-source Matrix Profile implementations used in production and research. He also founded the Matrix Profile Foundation, partnering with international academia to apply time-series methods in clinical and physics domains. Andrew balances industry leadership with teaching—serving as adjunct professor of AI at two universities—bringing rigorous scientific training (PhD in Molecular Biophysics) to practical AI delivery. Known for turning niche algorithmic advances into scalable services, he blends academic depth with product-driven execution.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.), Biology, General, Bachelor of Science (B.S.), Biology, General at Massachusetts Institute of TechnologyDoctor of Philosophy (Ph.D.), Molecular Biophysics, Doctor of Philosophy (Ph.D.), Molecular Biophysics at University of California, San Francisco
Github Skills (10)
algorithm10
data-structures10
algorithms10
time-series10
stomp10
python10
data-structure10
numpy10
data-analysis10
documentation8
Programming languages (6)
Github contributions (5)
target/matrixprofile-ts
Sep 2018 - Dec 2019
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
Role in this project:
Back-end Developer
Back-end DeveloperContributions:113 commits, 51 PRs, 79 pushes in 1 year 2 months
Contributions summary:Andrew's contributions focused on the time series analysis library, `matrixprofile-ts`. They made various code changes that included updating the tutorial, fixing documentation issues, and implementing and testing an annotation vector. Their work also involved refactoring and optimizing core functions like `movmeanstd` and `massStomp` within the library. The commits also involved improvements in the STOMP functionality, demonstrating the user's deep dive into the algorithmic details.
pythonpypipipmotifpypi-packages
vanbenschoten/combat
Jul 2014 - Sep 2018
Contributions:64 commits, 12 pushes in 4 years 2 months
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