Callie Federer
Data Science Manager
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolCallie Federer is a Data Science Manager and PhD-trained computational bioscientist with 11 years of experience turning research-grade machine learning into production impact. She currently leads a team building recommendations, ranking, clustering, and time-series forecasting solutions for freight analytics while previously shipping an ad campaign forecasting tool and company-wide BI/OKR dashboards. At Pearson she boosted OCR accuracy dramatically by iterating on Mask R-CNN and Transformer models and prototyped Bayesian hyperparameter tools, reflecting a blend of applied ML and rigorous experimental practice. Callie’s background spans computational neuroscience, medical dosimetry modeling, and bioinformatics, giving her a rare ability to connect domain science with scalable ML systems. She’s completing an Executive MBA, signaling growing product and business leadership on top of deep technical chops. Based in Denver, she’s known for rebuilding cross-functional collaboration between data, engineering, and product to move prototypes into live outcomes.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Bioscience, Doctor of Philosophy (Ph.D.), Computational Bioscience at University of Colorado DenverCor Jesu AcademyBachelor of Science (B.S.), Computer Science, Biology, Bachelor of Science (B.S.), Computer Science, Biology at Truman State UniversityProgramming languages (1)
Github contributions (5)
cfederer/PhaseVars
Oct 2015 - Oct 2018
Contributions:6 pushes, 1 branch in 2 years 11 months
cfederer/dynamic_dancer
Mar 2015 - Oct 2018
Contributions:3 pushes, 1 branch in 3 years 6 months
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