BookmarkSubscribeRSS Feed

ICE-BREAKER: Predictive Analytics for Agricultural Labor Risk

Started Wednesday by
Modified Thursday by
Views 109
Team Name*ICE-BREAKER*
TrackPublic Sector
Use CaseA predictive analytics solution that helps public agencies and agribusinesses forecast labor shortages and crop risks caused by immigration enforcement and policy shifts.
TechnologySAS, Python...
RegionEMEA
Team leadOtobong Edemenang
Team membersJulius Odede, Karan Shrestha, Akinyemi Arabambi, Mary Miti
  
Is your team interested in participating in an interview?Yes
Optional: Expand on your technology expertise 

 

Version history
Last update:
Thursday
Updated by:

hackathon24-white-horiz.png

Join the 2025 SAS Hackathon!

Calling all data scientists and open-source enthusiasts! Want to solve real problems that impact your company or the world? Register to hack by August 31st!

Register 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