cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Search instead for 
Did you mean: 
BookmarkSubscribeRSS Feed

404

Started ‎09-03-2025 by
Modified ‎10-23-2025 by
Views 837
Team Name 404
Track Energy
Use Case AI-driven prediction of energy infrastructure component failure and targeted response planning under stress. 
Technology

SAS Viya, SAS Model Studio, PROC Python, RStudio
Region North America
Team lead Leandro Ajo
Team members Robert Pearson
Social media handles

Leandro Ajo (LinkedIn: https://www.linkedin.com/in/leandro-ajo-01282a289/, Website: www.leandroajo.com), 

Robert Pearson (LinkedIn: https://www.linkedin.com/in/robert-pearson-52b7a4298/),
Is your team interested in participating in an interview? Y
Optional: Expand on your technology expertise  

 

Jury Video

(view in My Videos)

Pitch Video

(view in My Videos)

Version history
Last update:
‎10-23-2025 11:25 AM
Updated by:
Community Manager

Catch up on SAS Innovate 2026

Nearly 200 sessions are now available on demand with the SAS Innovate Digital Pass.

Explore Now →
Article Labels

Latest updates from the SAS Hackathon Desk.

Looking for inspiration? Check out:

• Past SAS Hackathon Team Profiles.

• Voices from the field.

Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Join us at the 2025 SAS Hackathon Sept. 15 – Oct 10. Visit the SAS Hackathon homepage.

Check it out!
Article Tags