Team Name | AJA |
Track | Student track |
Use Case | Option 1 - Data for Good | Climate Change + Vulnerable Populations This explores data related to climate change and vulnerable populations using the United States government data to examine the link between economically vulnerable populations and areas most affected by climate change. |
Technology | Microsoft Excel, Python, R programming |
Region | AP |
Team lead | Maria Angelika M. Mayes |
Team members | @iamjoeyr @HannahGuiuo |
Social media handles |
https://www.facebook.com/hannah.guiuo.31 https://www.facebook.com/EzekielEndaya https://www.facebook.com/angelika.mayes.9/
|
Is your team interested in participating in an interview? | N |
Optional: Expand on your technology expertise | Fourth-year IT undergraduates specializing in Business Analytics, with experience in web development, project management, data analytics, and machine learning. |
Great work, Alliance of Junior Analysts + @Angelikamayes + @iamjoeyr + @HannahGuiuo!
Your Team Profile is complete and looks great. Thank you for putting the correct tag – “Option 1 - Data for Good | Climate Change + Vulnerable Populations” so it’ll be easier to find and judge, when it’s time.
If you’re excited to learn more about the Hack before September 16th – including a sneak-peak of the use case – please see my post here: https://communities.sas.com/t5/SAS-Hacker-s-Hub/SAS-Hackathon-2024-Student-Track-Details/ba-p/941054
Good luck!
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