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K-Analyst - Tackling the radical decrease in South Korea's fertility rate

Started ‎02-25-2023 by
Modified ‎04-20-2023 by
Views 874
Team Name K-Analyst
Track Health care & Life Sciences 
Use Case Analysis over the cause of radical decrease in South Korea's fertility rate and come up with solution based on similar past cases of other countries.
Technology SQL, Python, Tableau, SAS Viya and others as applicable
Region USA
Team lead Victor Ahn
Team members @jyun1998 , @fchung1224 , @1stpro , @SebinLee 
Social media handles

https://www.linkedin.com/in/gang-il-victor-ahn-8427b7190/

https://www.linkedin.com/in/sebin-lee/

https://www.linkedin.com/in/federico-chung-351623163/

https://www.linkedin.com/in/jyun1998

Is your team interested in participating in an interview? Y
Optional: Expand on your technology expertise

Python: Advanced

SQL: Intermediate

Tableau: Intermediate

SAS: Beginner

 

Pitch Video:

 

Jury Video:

 

Comments

Very interesting study and findings, K-Analyst!  Thanks for shedding more light onto the current demographic trends affecting South Korea.  The link between the factors leading to high suicide rates and low fertility rates is very eye opening - and shows that there is a big role for the South Korean government in creating working environments that are much more conducive to families.

Great work!

Version history
Last update:
‎04-20-2023 07:53 PM
Updated by:

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