Azad Naik is a Senior Data Scientist at Microsoft with a Ph.D. in Machine Learning and over a decade of experience building data-driven systems across industry and academia. He has progressed through multiple roles at Microsoft since 2014, moving from internships and applied science to senior data science work that powers large-scale analytics and production data integration. His background spans low-level telecom and embedded systems at Samsung and Aricent to advanced ML research and teaching at George Mason University, giving him a rare blend of systems engineering and statistical modeling expertise. Azad routinely bridges research and production—prototyping data integration from SQL, Azure and Cosmos sources and optimizing telemetry and analytics pipelines for scale. Colleagues describe him as someone who pairs rigorous academic training with pragmatic engineering, often surfacing elegant, performance-focused solutions that aren’t obvious from models alone. Based in Bothell, WA, he brings cross-domain fluency that accelerates turning complex data into reliable, actionable products.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at Indian Institute of Technology (Indian School of Mines), Dhanbad
ISC Science, ISC Science at Laurels International
Doctor of Philosophy (Ph.D.) Machine Learning and Data Mining, Doctor of Philosophy (Ph.D.) Machine Learning and Data Mining at George Mason University
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