| Team Name | Astro UTB |
| Track | Option 1 | Data for Good | Climate Change + Vulnerable Populations |
| Use Case | Data for Good: We will leverage innovative data analysis to identify vulnerable populations and develop effective solutions to mitigate the impacts of climate change. |
| Technology | SAS Viya for Learners |
| Region | LATAM |
| Team lead | Daniel David Herrera Acevedo |
| Team members |
David Sierra Porta Andres Felipe Garcia Teheran |
| Social media handles |
Daniel D. Herrera Acevedo - https://www.linkedin.com/in/daniel-david-herrera-acevedo-801455233/ David Sierra Porta - https://www.linkedin.com/in/david-sierra-porta-7a7191169/ David Josue Ruiz Morales - https://www.linkedin.com/in/david-josue-ruiz-morales-5644091b7/ Jesus David Petro Ramos - https://www.linkedin.com/in/jes%C3%BAs-petro-118bab233/ |
| Is your team interested in participating in an interview? | Y |
| Optional: Expand on your technology expertise |
Jury video
Pitch Video
Excellent framing and storytelling, @Astro UTB! I also liked how you incorporated machine learning modeling into your work, with temperature as the outcome. Well done, Team!
Great work @Astro UTB! Your storytelling is so great! There we go LATAM!
Great work! Éxito 👍
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