Juan Zinser (juanzinser)

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
JavaScript
Computer Science (Algorithms)
Ruby
C/C++/C#
PHP
Data in Text Files
Data in Relational Databases
SQL
Geospatial
Text Data (NLP)
Network/Graph Data
Data > 1TB
GIS tools
Multimedia Data (Video or Audio)
Data from Sensors
Experience working on real-world problems using data
Data Visualization
Social Science (Economics, Sociology, etc.)
Experimental Methods (RCTs, A/B testing, etc.)
Data Analysis
Decision Trees
Random Forests
Time Series Models
Graphical models
Unsupervised models
SVMs
Neural Networks / Deep Learning
Semi-Supervised models
Causal inference
Matching (e.g., Propensity Score Matching )
Regression Discontinuity
Instrumental Variables
R
Matlab
Julia
SPSS

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