Navid Nemati
Data Scientist
Old Toronto, Ontario, Canada
Summary
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Top SchoolNavid Nemati is a data scientist with a PhD in mathematics from Sorbonne University and eight years of experience translating advanced math into production-ready machine learning solutions. He has built state-of-the-art deep learning models for ECG signal analysis and developed time-series forecasting and anomaly-detection systems in industry, pairing strong statistical rigor with software engineering discipline. His background spans academic research—contributing to algebraic-geometry tooling and methods for solving polynomial systems used in computer vision—to applied ML at startups and healthcare companies. Comfortable communicating complex methods to both engineers and executives, he emphasizes high-quality code, reproducible experiments, and clear documentation. Notably, his skill set bridges theoretical math and practical ML deployment, enabling robust models informed by provable techniques.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at Sorbonne University
Persian, English, French
Github Skills (1)
collaboration4
Programming languages (1)
Github contributions (5)
navidNemati/Digit-Recognition-with-MNIST-dataset
Jun 2021 - Aug 2021
Contributions:1 push, 1 branch in 2 months
navidNemati/Titanic---Machine-Learning-from-Disaster
Jun 2021 - Jun 2021
Contributions:3 pushes, 1 branch in 8 days
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