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Summary: Applying data analytics and AI tools on big data analysis for Power characterization reports/dashboard
Department: Storage Technology and Product Group Product Engineering
Project Title: Google cloud platform-based power dashboard development
Project Description: Data analysis and machine learning has been introduced in the Micron product development to improve efficiency.
The NAND product engineering validation team are working on projects with AI to make product validation more efficient.
In this project, a novel method will be developed to analysis the raw data stored on Google Cloud and automatically analysis the power characterization data with scripts deployed on cloud.
The student would have the opportunity to lean the power characterization method and data analysis skills with AI/ML techniques.
The intern would also have the chance to learn how NAND flash is working and developed.
Scope: using AI tool to generate codes for our project and explore machine learning techniques for the data analysis
Deliverable: Auto power dashboard from raw data in Google cloud
Impact of project: improve product development efficiency
Skillset Require: General problem solving, data analysis , programming language Python
Course of interest: Electrical engineering, computing engineering, data science
Duration Period: Min 5 months, (Jan 2026 to May 2026)