Shereen Elaidi is a PhD student in probability at McGill with eight years of experience blending rigorous mathematical research, teaching, and applied data science. As a Graduate Teaching Assistant she has led tutorials and graded across linear algebra, calculus and ODEs while developing clear pedagogy for diverse student levels. Her practicum work includes building ML models in Python and TensorFlow for industrial partners (e.g., TD Canada), creating educational R tutorials for longitudinal data, and producing missing-data workbooks for medical datasets. Comfortable moving between theory — stochastic differential equations and geometry — and practice — MLOps and model deployment — she brings a rare combination of formal probability training and hands-on ML pipeline experience. Colleagues appreciate that she pairs deep technical curiosity with effective communication, turning advanced mathematical ideas into accessible learning resources.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Probability, Doctor of Philosophy - PhD, Probability at McGill University
A web scraper to automatically gather information from Québec's COVID-19 update website and plot it.
Contributions:55 commits, 16 PRs, 46 pushes in 3 months
pythonscrapyplotweb-scraperweb-scraping
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