Kartik Kaushik
SCO Operations Research Engineer
Newark, California, United States
Summary
👤
Senior🎓
Top SchoolKartik Kaushik is an operations research and supply chain optimization engineer with 9 years of experience applying mathematical programming, data engineering, and ML to drive capacity, scheduling, and product transition decisions in semiconductor and storage industries. He currently builds in-house supply optimization tools at Solidigm after leading technology mapping, shippable capacity and demand-based supply models at Western Digital. Previously at Micron he authored MIP and constraint-programming optimizers that cut analysis time from days to hours, earned an internal innovation award, and scaled solutions across eight fabs. Comfortable across Python, CPLEX/DoCPLEX, SQL and visualization stacks, he also has a research background in propensity scoring and applied NLP for operational automation. Based in Newark, CA with a master’s in Industrial Engineering from ASU, Kartik is known for turning complex planning data into automated decision tools that save teams time and influence long-range fab output.
8 years of coding experience
9 years of employment as a software developer
Master's degree Industrial Engineering, Master's degree Industrial Engineering at Arizona State UniversityBachelor of Technology (BTech) Mechanical Engineering, Bachelor of Technology (BTech) Mechanical Engineering at Vellore Institute of Technology
English, Hindi
Github Skills (3)
python4
machine-learning4
data-science3
Github contributions (2)
kkaushi4/Machine-Learning-Case-Studies
Mar 2018 - May 2018
Contributions:45 commits, 2 PRs, 43 pushes in 1 month
pythoncase-studiesmachine-learningdata-science
kkaushi4/kay
Jun 2017 - Sep 2017
Contributions:1 push, 1 branch in 3 months
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