Luke Franzen is a quantitative researcher with 10 years of experience transforming large, disparate datasets into production-ready inputs for machine learning and statistical models. Based in the Greater Chicago Area, he brings a rare blend of academic rigor—Master’s in Computer Science and a strong psychology background—and practical market experience at Optiver where he applies classification, regression, clustering, and time-series techniques to inform trading decisions. He has a proven track record scaling data pipelines from megabytes to terabytes (including work with a 500M-row Redshift clickstream) and deploying models that drive business outcomes. Past roles leading interdisciplinary labs and teaching large undergraduate sections demonstrate his ability to communicate complex methods to diverse audiences and manage teams. Colleagues rely on him for careful data engineering, insightful feature construction, and turning statistical results into actionable strategy.
10 years of coding experience
12 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Iowa
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