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Purdue ORSOL - Team Profile

Started ‎08-29-2024 by
Modified ‎11-21-2024 by
Views 1,799
Team Name ORSOL
Track Student - 

Option 1 | Data for Good | Climate Change + Vulnerable Populations

Use Case Student - 

Option 1 | Data for Good | Climate Change + Vulnerable Populations

Technology SAS Viya, Python
Region United States, Indiana
Team lead Hsin-Wei (Ryan) Hsieh
Team members

@ryanx0129  @jihyopark0918 @phenomenon928 @Jaejae1107 
1. Hsin-Wei (Ryan) Hsieh
2. Jihyo Park

3. Hyunsang (Ethan) Cho
4. Jaewon Cho

Social media handles Team Website
Team LinkedIn 
Is your team interested in participating in an interview? Y
Team Logo ORSOL Team LogoORSOL Team Logo
Optional: Expand on your technology expertise N/A
Jury Video
​​​​​​​TeamORSOL-Jury.mp4
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          Comments

          Great work, Purdue ORSOL - Team Profile + @ryanx0129!

           

          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!

          Wow - great job, @ORSOL!  I love the way you followed the data analytics lifecycle in your jury video.  Moreover, I was impressed with your Credit Risk Factor Scoring System, as a way to create meaningful insights from A LOT of data.  Finally, I see that you were able to create a map with all the counties in the U.S., which tells me that you spent significant time cleaning the underlying data and were successful...


          And last but not least - great dashboard... and way to end with ways to improve!

          Excellent work!

          Hi Mr.  @LGroves!

          Thank you so much for your feedback! We're thrilled to hear that our approach resonated with you, especially our commitment to following the data analytics lifecycle. The Credit Risk Factor Scoring System was indeed a major focus for us, as we wanted to ensure it could deliver clear, actionable insights from the extensive data available. Creating the U.S. county map was definitely a challenge that required detailed data cleaning, so we're glad it added value to our presentation.

          We’re also grateful for your positive remarks on the dashboard and the improvement suggestions. Your encouragement motivates us to keep refining our work. Thanks again for the thoughtful feedback and for supporting our project!

          Awww - very nice note, @ryanx0129.  And, again, excellent work!

          Version history
          Last update:
          ‎11-21-2024 09:28 AM
          Updated by:
          Contributors

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