- Applied statistical theory and techniques to support global data collection methodologies- Supported a team of 30 analysts with survey planning, design, and analysis for various publicopinion surveys- Collaborated with analysts to disseminate high-level findings to executive stakeholders

- Examined the effect of citizen satisfaction with government on political participation patterns using experimental methods- Examined the determinants of citizen satisfaction with government institutions using original survey data- Created, piloted, and disseminated surveys including survey experiments with samples of 1,000 or more- Developed surveys using Qualtrics, disseminated using Lucid Theorem- Mined, cleaned, and analyzed over 100,000 tweets from Mayor’s across the United States for themes regarding education during the pandemic using machine learning and qualitative techniques- Collaborated with Senior colleagues to conduct analysis and write research papers- Presented research at three national conferences- Managed multiple concurrent research projects

- Evaluated state education initiative for improvements in student outcomes and teacher turnover- Cleaned and analyzed nine years of student and teacher administrative data with hundreds of thousands of yearly observations- Analyzed survey and observational data using STATA to conduct econometric analyses, including Wooldridge Two-Way Fixed-Effects; Event Study; and Comparative Interrupted Time Series (CITS) analyses- Collaborated with multiple colleagues to conduct analysis and write two research papers, three yearly policy reports, and a policy brief- Presented research at a national conference

Assisting the department secretary File processing File delivery/retrievalRecords keeping

Tutoring approximately 300 Freshman in lower level mathTutoring all university math courses

Conducting research on the enumeration of trees. Worked on developing an algorithm to generate degree sequences for trees give the number of vertices.

Summer Research Opportunities Program internExplored model optimization for a predictive scoring model regarding human rights reportsLearned and developed code in Python programming LanguageUsed Machine Learning techniques for modelingPresented at Mid-SURE July 2017