Pavan Unnam possesses extensive experience in data analytics and machine learning, having worked at notable companies including Honeywell Technology Solutions, Facebook, Apple, Meta, Salesforce, and Abridge AI. Beginning as a Data Analyst Intern at Honeywell in 2014, Pavan developed a statistical model in R for manufacturing data analytics and implemented efficient data mapping solutions in Matlab. Subsequent roles include software engineering positions focused on machine learning at Facebook and Meta, as well as significant contributions to Salesforce and Abridge AI, where Pavan created relevance engines and models for various applications. Educational credentials include a Bachelor's Degree in Mechanical Engineering from the Indian Institute of Technology, Madras, and a Master's Degree in Data Science from Columbia University. Teaching assistantship experiences at Columbia have further enriched Pavan's expertise in machine learning and data science education.
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