Omkar Suryavanshi
Senior Supply Chain Manager at Amazon
Nashville-Davidson, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolOmkar Suryavanshi is a Senior Supply Chain Manager with 13 years of cross-industry experience driving operations and program management at Amazon and earlier roles in manufacturing and research. He combines an Industrial Engineering master’s from NC State with hands-on skills in supply and demand planning, SQL-driven data analytics, Lean Six Sigma, and project negotiation to consistently deliver cost and process improvements. At Amazon he progressed rapidly from operations to senior program leadership, applying rigorous data models and process design to scale logistics solutions. He also contributes to open-source backend work—refactoring core assignment logic in the NSF-supported Expertiza project—demonstrating a rare blend of supply chain strategy and software engineering chops. Based in Nashville, he’s known for translating complex technical analysis into practical, measurable business outcomes such as multimodal freight savings and reduced cycle times.
12 years of coding experience
6 years of employment as a software developer
Master's degree, Industrial Engineering, Master's degree, Industrial Engineering at North Carolina State UniversityBachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Vishwakarma Institute Of Technology
French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
reviewboard10
ruby-rails10
peer10
rails10
peer-to-peer10
code-review10
ruby10
rspec7
st6
Programming languages (3)
Github contributions (5)
expertiza/expertiza
Oct 2013 - Dec 2013
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 commits in 1 month
Contributions summary:Omkar's commits primarily involve refactoring the `Assignment` model within the Expertiza web application. Their work focuses on improving the code related to dynamic reviewer assignment, metareview assignment, and various condition checks within the assignment lifecycle. The changes indicate a focus on optimizing the assignment logic for topics, reviews, and deadlines, and correcting some bugs. These changes suggest a strong focus on the core functionality and backend structure of the application.
nationalpeer-reviewexpertiza-wikidjangoexpertiza
okdalvi/static-website-cloudfront
May 2020 - May 2020
Contributions:2 pushes, 1 branch in 1 day
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