Team Name | INNOVA-TSN |
Track | Public Sector |
Use Case | Using text data to identify high poverty zones |
Technology | SAS VIYA, python (beatifulsoap, selenium, spaCy, nltk), huggingface, SAS VIsual Analytics, SAS Text Analytics, APIs. |
Region | EMEA - LATAM |
Team lead | Natalia Arteaga |
Team members | @NataliaArteaga @Diegoortizext @Anamanisa @Ronidpicard @UGaston98 @carlos-leguina @Fer_Falcon @fersebas @rlaram |
Social media handles |
https://co.linkedin.com/in/natalia-arteaga-guti%C3%A9rrez-6ba216116 https://www.linkedin.com/in/diego-ortiz-santiesteban-86b526a8/ https://es.linkedin.com/in/unai-gast%C3%B3n-os%C3%A9s-71a403287
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Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise |
Pitch video:
Jury video:
Team photo:
Important questions and impressive team. And I love the Vulnerability Radar tool. Nice work, Team!
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