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Meet Oza is listed as Engineering @ Medvelle | Software and Machine Learning | Cornell University at Medvelle, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Meet Oza.
Meet Oza previously worked as Vice President of Engineering at Medvelle and Software and ML Engineer at Medvelle. Meet Oza holds Master Of Science - Ms, Computer And Information Sciences (Dual Masters) from Cornell University.
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Meet Oza is a Engineering @ Medvelle | Software and Machine Learning | Cornell University at Medvelle. He possess expertise in artificial neural networks, scikit learn, git, public speaking, data science and 22 more skills. He is proficient in Thai.
Listed skills include Artificial Neural Networks, Scikit Learn, Git, Public Speaking, and 23 others.
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New York City Metropolitan Area
- Developing backend infrastructure for the platform- Building sophisticated Machine Learning models for recommendation systems and pipeline optimization- Designing CICD pipeline and DevOps
New York, New York, United States
Developing an AI co-pilot tool to guide novice practitioners in the competent performance of flexible video laryngoscopy
Cornell Tech, New York
Teaching Assistant for the Startup Studio at Cornell Tech.
Cornell Merit Scholar
Gold Medalist Bachelors of Technology in Computer and Communication Engineering
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Meet Oza works for Medvelle.
Meet Oza is listed as Engineering @ Medvelle | Software and Machine Learning | Cornell University at Medvelle.
Meet Oza is based in New York, United States while working with Medvelle.
Meet Oza has worked for Medvelle, Perceptron Health, Cornell University, Dell Technologies, and The Johns Hopkins University.
You can use AeroLeads to view verified contact signals for Meet Oza at Medvelle, including work email, phone, and LinkedIn data when available.
Meet Oza holds Master Of Science - Ms, Computer And Information Sciences (Dual Masters) from Cornell University.
Meet Oza is listed with skills including Artificial Neural Networks, Scikit Learn, Git, Public Speaking, Data Science, Competitve Coding, Reinforcement Learning, and Data Analysis.
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