BookmarkSubscribeRSS Feed

AI Recommendation Engine For Value Based Care

Started ‎02-27-2023 by
Modified ‎04-20-2023 by
Views 944
1. Team Overview
Team Name iCarenetwork
Track Health care & Life Sciences
Use Case Helping the Centers for Medicare and Medicaid Administrators reduce the cost of hospitalizations of beneficiaries with diabetes using an AI recommendation engine.
Technology
Medicare Claims Data, Azure, SAS Viya, Databricks, Python
 
Region USA
Team lead Rich Figallo
 Team members  @RFigallo
Social media handles Rich Figallo
Aishwarya Kura
Is your team interested in participating in an interview? Y
Optional: Expand on your technology expertise  

 

2. Jury Video

3. Pitch Video

 

Comments

Hello @RFigallo and team,

 

I am still looking to join a team and was interested in yours, if you are open to a new member.  I have experience with R, Python, Java, SAS, and Bash (Linux).  Here is my LinkedIn Profile: https://www.linkedin.com/in/william-namm-47189312b/

Let me know if you are interested!

 

Sincerely,

William Namm

Hi William,

 

I sincerely apologize for the delayed response. We really appreciate your interest. I did run your request by the team and the consensus was we are good on technical members. Let's connect on LinkedIn. I'm interested in your background in Bioinformatics, Biostatistics, and Computational Biology.

 

Best,

 

Rich

Version history
Last update:
‎04-20-2023 07:49 PM
Updated by:

Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.

Register today!
Article Tags