Fe Y Alegría
Bolivia
One of my favorite data analytics courses at SJU was the Data Mining Service Learning Course that I took Fall of 2020. A service learning course is just like any other college course, but with an additional 6-week long project in service.
My class worked with Fe y Alegría in Bolivia. Fe y Alegría is a Jesuit-run non-profit organization that creates programs for underprivileged school students throughout Latin America.
For this project, I cleaned student survey data to identify which schools were most impoverished and in need of better, more targeted programs to support their needs. I started with a large, disorganized data set in Spanish and was able to clean the data, format, and interpret it for meaningful insights.
I then got the opportunity to present my findings. I was able to provide the director of the program and his colleagues with my recommendations from the insights gathered from the data (all virtually AND with a language barrier!)
Excerpts from my presentation…
Introduction slide: Agenda
Introduction slide: how I defined poverty
Introduction slide: How I determined what schools and students were in greater need
Introduction slide: The survey questions I focused our analyses on
Three schools I identified with the overall most need based on our findings.
At-home access to water: For the survey questions I focused on, I identified the top schools that indicated the most need for that specific survey question. This slide focuses on 3 survey questions regarding water access (sewage system, shower in home, running water access).
At Home access to water: Analyses for top need schools in terms of at home access to water (appendix to previous slide).
Recommendations to stakeholders
