Shane Bussmann
Principal Data Scientist
Colorado Springs, Colorado, United States
Summary
👤
Senior🎓
Top SchoolShane Bussmann is a Principal Data Scientist and computer vision specialist with 12 years of experience applying deep learning, Bayesian methods, and statistical modeling to real-world sensor and imaging problems. He currently leads data science efforts at LineVision and CIBO Technologies, translating research-grade algorithms into production systems for environmental and agricultural sensing. His background in astrophysics and distributed Bayesian tools (uvMCMCfit) informs a rigorous, computationally efficient approach—he once sped up a scientific pipeline ~200x and routinely reduces memory and latency in deployed models. Early work at Understory produced production-grade precipitation and hail-detection algorithms that materially expanded product capability, and he contributed Bayesian risk-analysis examples to the widely used pyfolio project. Based in Colorado Springs, Shane pairs academic rigor (PhD in Astronomy) with practical product delivery and mentorship of junior scientists. He’s known for turning noisy, unconventional sensor data into robust, deployable insights.
12 years of coding experience
10 years of employment as a software developer
The University of ArizonaBachelor of Arts (B.A.) Physics and Astrophysics, Bachelor of Arts (B.A.) Physics and Astrophysics at University of California, Berkeley
Spanish
Github Skills (8)
bayesian-statistics10
finance10
bayesian10
statistical-models10
python10
modeling10
jupyter-notebook9
machine-learning8
Programming languages (3)
Github contributions (5)
quantopian/pyfolio
Oct 2015 - Oct 2015
Portfolio and risk analytics in Python
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 2 PRs, 8 comments in 5 days
Contributions summary:Shane primarily contributed to the Bayesian tear sheet examples, adding stochastic volatility models and multi-linear Bayesian regression analysis to the existing portfolio and risk analytics. Their work involved integrating Fama-French sector exposures and refining the display of model results. The user also made improvements to the documentation and corrected grammatical errors in the Bayesian notebook.
riskanalyticspython
sbussmann/buda-ratings
Mar 2016 - Feb 2018
Contributions:323 pushes, 2 branches in 1 year 11 months
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