Ali Zonoozi
Staff machine learning engineer at Q2
Expertise: AI, machine learning, software development
Education: Nanyang Technological University of Singapore; Amirkabir University of Technology, Tehran Polytechnic
Ali Zonoozi is a staff machine learning engineer at Q2. Formerly, he worked as a machine learning engineer at Sensibill and as a lead data scientist at Grab. He earned his B.Sc and M.Sc. in computer engineering and software engineering fields respectively. He started his data science and machine learning journey in 2010 and received his Ph.D. from Nanyang Technological University of Singapore in 2018, where he researched machine learning-based approaches for large scale temporal data analytics.
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Matrix factorization is a mathematical technique that decomposes a large matrix into two lower-rank matrices whose product approximates the original, revealing latent patterns in the data. It's used in data science and unsupervised learning applications.