Daniela de los Santos
I'm a social data scientist.
Passionate about building data-driven tools that can be used for crafting effective public policies and tackling social and gender inequalities.
Hey there!đ My name is
About Me
I hold an MSc in Data Science from the Barcelona School of Economics and a BSc in Sociology from the Catholic University of Uruguay. My expertise spans data-driven social research and public policy analysis, machine and deep learning modeling, data processing and visualization, geospatial analysis, as well as scientific dissemination and teaching. You can check some of my publications here.
These are some of the programming languages and technologies I'm currently using:
- Python
- R
- SQL
- AWS
- H2o.ai
- PowerBI / Tableau
- Stata
- ArcGIS/QGIS
- Shiny
Experience
As a part of the Gender Cluster in the United Nations Development Programme (LAC), I am responsible for (among other things) designing and implementing big data-based tools to support governments in the design, implementation, monitoring and evaluation of inclusive care and social protection policies. A good example of this is the Care Georeferencing Tool, which helps build territory-level diagnoses of care supply and demand, as well as spot accessibility barriers for vulnerable population.
As a part of the Gender and Development Department, I conducted research on gender issues, economic and social development, womenâs economic autonomy, public policy, labor markets and social inequality, through quantitative and qualitative methodologies. Explore some of our publications in the link above.
During 2020-2021 I was the lecturer in charge of the Sociology undergrad course âFamily, Gender and Generationsâ in the Catholic University of Uruguay (UCU). Before that, I worked as a RA in Urban Studies and Gender and Mobility projects. Check my highlighted publication in the link.
I worked as Data and Macrodata coordinator in a Political Science research group in the University of Buenos Aires. The group studied the role of government information in guaranteeing access to womenâs rights. I led a group of students that focused on improving methodologies to gather data on gender identity.
Education
2022 - 2023
MSc in Data Science for Decision Making
Barcelona School of Economics
GPA:
8.8 out of 10.0
Thesis: âForecasting Global Refugee Flows: A Machine Learning Approach using Non-conventional Dataâ.
Grade: 10 (A+).
2010 - 2014
BSc in Sociology
Catholic University of Uruguay
GPA:
5.5 out of 6.0
Thesis (2020): âThe childhood neighborhood as a center of gravity: Residential mobility of young people from Montevideo during their transition to adulthood.â
Grade: A+.
Featured Projects
decision trees
gradient boosting
google trends
Forecasting Refugee Flows
A Machine Learning Approach using Non-conventional Data such as Google Trends and GDELT, in collaboration with UNHCR.
Google Places
Overpass
OSRM
webscraping
crowdmapping
Care georeferencing tool
Big data-based tool that generates diagnoses of supply, demand and accessibility deficiencies in care policy.
CNN
VHR satellite imagery
pytorch
Detecting Informal Settlements using Satellite Imagery
Exercise to map informal settlements across the globe using VHR satellite imagery and Convolutional Neural Networks.
graph network
pytrans
igraph
Optimal Bike Station Placement
Network analysis to optimize bike-sharing systems decision-making process.
BERT
LSTM
RNN
tensorflow
keras
Using NLP models to classify people's stances on Twitter
Exercise to classify stances in tweets about abortion, atheism, feminism and climate.
Browse publications by theme.
Here you'll find refereed papers, book chapters, reports, working papers and others.