Personal information
Full name: Juan Zinser
User name: juanzinser
Organization memberships
Not a member of any organization.
Awards
First 1000 volunteers
Volunteer background
Volunteer availability
Start date: None
End date: None
Hours available per week: None
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
Java
Computer Science (Algorithms)
JavaScript
Ruby
C/C++/C#
PHP
Data in Text Files
SQL
Data in Relational Databases
Network/Graph Data
Text Data (NLP)
Geospatial
Data > 1TB
GIS tools
Data from Sensors
Multimedia Data (Video or Audio)
Experience working on real-world problems using data
Data Visualization
Experimental Methods (RCTs, A/B testing, etc.)
Social Science (Economics, Sociology, etc.)
Data Analysis
Decision Trees
Random Forests
Graphical models
Neural Networks / Deep Learning
SVMs
Unsupervised models
Time Series Models
Causal inference
Semi-Supervised models
Matching (e.g., Propensity Score Matching )
Regression Discontinuity
Instrumental Variables
R
Matlab
SPSS
Julia

Volunteer projects

Project name Organization name Social impact area Project summary Task name Task status
GraphLab and IDDP Mapping the Spread The George Washington University School of Engineering and Applied Science Education Dr. Howie Huang’s GraphLab, together with Dr. David Broniatowski and IDDP (Institute for Data, Democracy, and Politics) researchers, is working to map the prevalence and spread of attitudes towards COVID-19 on online social media platforms. They are examining repositories of social media data related to the epidemic, starting as early as January 2020, to map the spread of discussion, information, and attitudes towards the disease and the public health response to the outbreak. Project scoping Pending review