I currently live in Chicago, but have lived, learned, and worked in many places (Yugoslavia, NYC, DC, London, Stockholm, Honolulu, Havana, Philadelphia). I have classroom knowledge of most aspects of causal analysis, and extensive experience making disparate and messy data clean and useful. At my current job, I wrangle lots of messy student-level data and run predictive models to help colleges around the US understand, improve, and predict enrollment, applications, retention, financial exposure of various aid and admission strategies, among other things.

I have most experience in the field of education, but a passion for tons of social issues. I'm eager to apply and expand my skills via work on projects on this platform.

Personal information
Full name: Sandra Mazlagic
User name: mazlagic
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Master's on Public Administration - International Development (London School of Economics and Political Science)
LinkedIn profile
Volunteer availability
Start date: Aug. 24, 2020
End date: None
Hours available per week: 4
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
GIS tools
Geospatial
Data in Text Files
Experience working on real-world problems using data
Social Science (Economics, Sociology, etc.)
Data Visualization
Experimental Methods (RCTs, A/B testing, etc.)
Data Analysis
Decision Trees
Causal inference
Instrumental Variables
Regression Discontinuity
Matching (e.g., Propensity Score Matching )
SPSS
Stata
R

Volunteer projects

No volunteer work yet.