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Andrew Rider
Machine Learning Engineer at Self Employed
About
Andrew Rider is a highly skilled Machine Learning Engineer with over 12 years of experience in the field. He is currently working as a self-employed Machine Learning Consultant, taking on odd jobs that require his deep expertise in machine learning, algorithms, and statistics. Andrew is not afraid to compile his own Linux kernel or manage his own cluster, making him an extremely resourceful and independent worker. Prior to his current role, Andrew worked at Qventus, Inc. as a Lead Machine Learning Engineer, where he was the tech lead for the data science team. His role was equal parts management and machine learning, as he developed and maintained productionized machine learning software for hospital operations while also being a resource for his team and organizing their efforts. He also hired and led a team of 6 data scientists. Before that, he worked as a Senior Machine Learning Engineer at Qventus, Inc. Andrew holds a Doctor of Philosophy (PhD) degree in Computer Science and a Master of Science (MS) degree in Computer Science from the University of Notre Dame. He has a strong technical background and is proficient in ML, Data Science, and Senior Software Engineering. Overall, Andrew is a highly experienced and skilled Machine Learning Engineer with a proven track record of success in the field. He is a self-starter who is not afraid to take on challenging projects and is always looking for new ways to improve his skills and knowledge.
Education Overview
• university of notre dame
Companies Overview
• self employed
• qventus inc
• postmates
• phalula
• nasa
• cycorp
• university of notre dame
• triand inc.
Experience Overview
13.1 Years
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Experience
Skills
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Algorithms
Data Science
Data Scientist
Kernel
linux
Linux Kernel
Machine Learning (ML)
operations
statistics
Contact Details
Email (Verified)
andXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
university of notre dame
Doctor of Philosophy (PhD)
2008 - 2013
university of notre dame
MS
2008 - 2012
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