Data Science for NGOs and the Social Sector
In the social sector, data is a powerful tool for making informed decisions, improving resource allocation, and demonstrating the real impact of interventions. Data Science applied to NGOs and third sector organizations allows for transforming scattered information into structured, useful, and actionable knowledge.
In this section, I present some of the projects developed in collaboration with NGOs, foundations, and public administrations, focused on measuring social impact, optimizing processes, and improving transparency.
What types of projects have I developed?
- Social impact measurement: Development of models to quantify outcomes and evaluate the effectiveness of social, educational, health, or community programs.
- Geographic and demographic analysis: Study of the territorial distribution of needs, resources, or interventions to optimize coverage and improve planning.
- Optimization of fundraising campaigns: Donor segmentation, analysis of conversion channels, and prediction of donor retention in fundraising efforts.
- Visualization of social indicators: Creation of interactive dashboards to support accountability and communication with funders, beneficiaries, and technical teams.
Tools and technologies I use
I work with accessible and scalable technologies such as Python, Power BI, Google Data Studio, or advanced Excel, always prioritizing sustainable solutions adapted to the available resources. I also integrate open data, custom surveys, or administrative records depending on the needs of each project.
