Project Info
Data Science for supply chains
sebnem duzgun
duzgun@mines.edu
Tulay Flamand
tflamand@mines.edu
The students will learn systems associated with supply chains (e.g. energy and critical minerals supply chains, retail businesses, etc) and then implement machine and statistical learning methods for understanding supply chain dynamics.
The team will have weekly meetings and discuss the progress, hurdles and tools collectively
More Information:
Grand Challenge: Not applicable
https://scholar.google.com/citations?hl=en&user=qk6Af6cAAAAJ&view_op=list_works&sortby=pubdate
Primary Contacts:
Faculty and phd students
Student Preparation
Qualifications
Ambition to learn data science
TIME COMMITMENT (HRS/WK)
10
SKILLS/TECHNIQUES GAINED
Data curation and analytics
MENTORING PLAN
The students will match with the phd students and learn from them. In weekly meetings, they will meet with the faculty
Preferred Student Status
Junior
Senior