Projects
American National Election Study (2016, 2020) survey analysis
- Implemented machine learning algorithms such as LASSO, Random forest, LDA, and others in R to address various topics
- Compared voting patterns from people of different racial and socioeconomic status
- Presented findings in report and presentation with data visualization
Larval Growth in Dry Wells in Phoenix, AZ
- Provided statistical consulting help on PhD dissertation statistical analysis
- Used a linear mixed model on experiment data results
- Presented findings in report, with explained model and SAS implementation
Vaccination rates in Mali, Minetti et al. (2012)
- Designed a new analysis of cluster sampling scheme to estimate vaccination rates
- Explored Bayesian hierarchical models and parameter estimation
Homelessness in the United States
- Combined data from the US Census Bureau, Dept. of Housing and Urban Development, and Bureau of Economic Analysis
- Implemented machine learning algorithms such as LASSO and Random Forest to associate variables from all these areas with homelessness levels
- Presented findings in report and presentation with graphical visualization (including maps)