Alloygorithms: Where Metallurgy Meets Machine Learning

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Team Name	Alloygorithms
Track	Manufacturing
Use Case	Use SAS Viya’s machine learning and optimization capabilities to analyze historical melt and chemistry data and recommend optimal nickel-based superalloy production sequences that minimize chemistry adjustments, wash heats, processing time, and material costs at SMM.
Technology	SAS Viya
Region	North America
Team lead	Ystallonne  Alves
Team members	Pragyat Gautam, Luke Stohrer, Abel Henson
Social media handles	https://www.linkedin.com/in/principal-data-scientist/ https://www.linkedin.com/in/ystallonne https://www.linkedin.com/in/pragyat-gautam-mba-77743192/
Is your team interested in participating in an interview?	Yes
Optional: Expand on your technology expertise	Superalloy Metallurgy, SAS Visual Analytics, SQL, Python