Purdue ORSOL - Team Profile

[#1]

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 Logo
Optional: Expand on your technology expertise	N/A
Jury Video
Pitch Video

[LGroves]

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 16^th – 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!

[LGroves]

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!

[ryanx0129]

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!

[LGroves]

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