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/ |
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:
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!
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