Summary
Ekaterina Avdeeva is a physics-trained data scientist with 11 years of experience applying rigorous, data-driven methods from particle physics to industry problems like dynamic pricing, fraud detection, and AI training data for particle physics. She holds a PhD in Particle Physics and has deep hands-on experience with statistical tools and scientific software (ROOT, Python, scikit-learn, statsmodels) gained through LHC research and production data projects. As a self-employed tutor and consultant she translates complex quantitative concepts into teachable materials and practical analyses, while currently annotating particle-physics datasets for AI at Mercor. Her background blends experimental detector calibration and measurement with production ML pipelines, giving her a rare ability to validate models against physical realism as well as business impact.
11 years of coding experience
16 years of employment as a software developer
PhD, Particle Physics, 3.67 (out of 4.00), PhD, Particle Physics, 3.67 (out of 4.00) at University of Nebraska-Lincoln
Master's degree, Particle Physics, 4.85 (out of 5.0), Master's degree, Particle Physics, 4.85 (out of 5.0) at Novosibirsk State University (NSU)
English, Russian