Gaurav Sharma
Senior Industrial Engineer at NVIDIA
San Jose, California, United States
Summary
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Senior🎓
Top SchoolGaurav Sharma is a Senior Industrial Engineer with nine years of cross-industry experience in capacity planning, operations research, and supply chain optimization, currently driving wafer and advanced packaging capacity strategy at NVIDIA. He has led capacity modeling and automation initiatives at Micron and Western Digital, building SQL/Python data pipelines and solver enhancements that saved hundreds of man-hours and improved planning accuracy. Earlier roles at Delhivery and ON Semiconductor combined hands-on logistics innovation—UAVs, parcel lockers, IoT sorting—and strategic network design, delivering measurable revenue and throughput gains. A Six Sigma Black Belt with an MS in Industrial Engineering from ASU, he blends stochastic optimization research with pragmatic process improvement across fabs and last-mile networks. Colleagues know him as a disciplined collaborator who translates large, noisy datasets into executable business processes and occasionally pilots autonomous delivery missions.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Industrial Engineering, Master of Science - MS Industrial Engineering at Arizona State UniversitySix Sigma Black Belt Certification, Six Sigma Black Belt Certification at Indian Statistical Institute (SQC & OR)Bachelors in Technology Industrial and Production Engineering, Bachelors in Technology Industrial and Production Engineering at Dr B R Ambedkar National Institute of Technology, Jalandhar
English, Hindi, PunjabiGithub contributions (5)
gsharma007/E-Commerce_Last_Mile_Franchise_Model
Mar 2017 - Jun 2020
Contributions:18 pushes, 1 branch in 3 years 3 months
gsharma007/Data_Mining_and_Machine_Learning
Sep 2019 - Mar 2020
Contributions:41 commits, 40 pushes, 1 branch in 5 months
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