Data For Good - JPM Hackathon

Equitable Quality Education and Lifelong Learning for All

Team 3 members:

• James Butcher
• Koral Buch
• Leah Briscoe
• Mark Chen
• Henry Chacon

We focused our analysis on Focus on the indicator 4.4.1: Proportion of youth and adults with information and communications technology (ICT) skills, by sex and type of skill (%).

Summary of insights:

1. Technological skills are improving over time however some skills are severely lacking
2. Consistently, all-male schools show higher performance of skills
3. Indicating a systemic inequality in resources for all-female vs all-male schools
4. The magnitude of this discrepancy varies by country
5. A KNN model showed the best accuracy in predicting proportion of individuals who were able to successfully complete the skills

Documents contained in this github folder:

• Leah_Hackathon_AI_ML.ipynb
• Koral_Modeling.ipynb
• Henry Data Analysis.ipynb

The code ("Code") in this repository was created solely by the student teams during a coding competition hosted by JPMorgan Chase Bank, N.A. ("JPMC"). JPMC did not create or contribute to the development of the Code. This Code is provided AS IS and JPMC makes no warranty of any kind, express or implied, as to the Code, including but not limited to, merchantability, satisfactory quality, non-infringement, title or fitness for a particular purpose or use.