Personal information
Full name: Anne Driscoll
User name: anne.driscoll
Organization memberships
Awards
Almost all outstanding reviews
1+ task completed
First 500 volunteers
Volunteer background
Education: Bachelor's on Statistical Science (Duke University)
LinkedIn profile
Github profile
Volunteer availability
Start date: None
End date: None
Hours available per week: 4
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
Data in Relational Databases
Text Data (NLP)
SQL
Data in Text Files
Data > 1TB
Network/Graph Data
Experience working on real-world problems using data
Data Visualization
Social Science (Economics, Sociology, etc.)
Data Analysis
Decision Trees
Random Forests
Unsupervised models
R
Stata

Volunteer projects

Project name Organization name Social impact area Project summary Task name Task status
Mitigating Eviction Risk for Residents in the City of Dallas Child Poverty Action Lab Economic Development This project is focused on understanding which communities in Dallas are disproportionately affected by eviction and how eviction is associated with various aspects of people and place. Analysis will help shape a strategy to support more Dallas families upstream of an eviction -- i.e., to help them find financial stability in advance of a crisis event. Eviction Hostposts Map done_all Completed
Mitigating Eviction Risk for Residents in the City of Dallas Child Poverty Action Lab Economic Development This project is focused on understanding which communities in Dallas are disproportionately affected by eviction and how eviction is associated with various aspects of people and place. Analysis will help shape a strategy to support more Dallas families upstream of an eviction -- i.e., to help them find financial stability in advance of a crisis event. Project scoping done_all Completed
Mitigating Eviction Risk for Residents in the City of Dallas Child Poverty Action Lab Economic Development This project is focused on understanding which communities in Dallas are disproportionately affected by eviction and how eviction is associated with various aspects of people and place. Analysis will help shape a strategy to support more Dallas families upstream of an eviction -- i.e., to help them find financial stability in advance of a crisis event. Descriptive Statistics done_all Completed