Kaisa Taipale
Senior Commodity Strategist & Analyst
Minneapolis, Minnesota, United States
Summary
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Senior🎓
Top SchoolKaisa Taipale is a Senior Commodity Strategist and analyst who leverages nine years of experience in math-driven machine learning to model markets, risk, and long-term forecasting across commodities and logistics. With a PhD in mathematics and a background as a university professor, she blends deep theoretical expertise—topological data analysis, Bayesian time series, and optimization—with hands-on quantamental trading work at Cargill and large-scale pricing and risk products at C.H. Robinson. She has led cross-functional teams building production analytics (dynamic pricing, cost forecasting, auction optimization) and holds a Series 3 license for futures advisory, bridging academic rigor and real-world market constraints. Curious about the intersection of theory and physical reality, she also founded EarthCalculus to bring math to environmental and teaching applications, reflecting an uncommon focus on communicating mathematical beauty and limitations visually and verbally.
9 years of coding experience
12 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of MinnesotaCalifornia Institute of TechnologyUniversity of Minnesota Twin Cities
Finnish, French, Spanish, English
Github Skills (24)
camp7
topological-data-analysis5
r-package4
python3
visualization3
machine-learning3
bootstrapping2
topology2
doi2
cran2
mapper2
data-visualization2
kepler2
pipeline2
install-script2
Programming languages (4)
Github contributions (5)
kaitai/stress-testing-with-jupyter
Aug 2016 - Sep 2019
Contributions:15 commits, 14 pushes, 1 branch in 3 years 1 month
kaitai/HighSchoolMLCurriculum
Jun 2019 - Jun 2019
Curriculum for machine learning camp for high school students held at University of Minnesota
Contributions:16 commits, 2 PRs, 15 pushes in 11 days
campuniversity-of-minnesotacurriculummachine-learning
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