-Clean complex longitudinal datasets connecting students and teachers, from over 30 different school districts-Design and run randomized controlled trials in partnership with state and local education agencies, covering experimental design, power calculations, implementation, and impact evaluation via hierarchical linear modeling-Supervise and mentor a growing team of analysts, providing trainings on data cleaning, study design, and statistical modeling-Developed stratified survey sampling framework and associated weighting scheme for a large, multi-state survey of teachers and principals-Sole analyst for the Best Foot Forward project, a large scale randomized controlled trial. Responsible for all data collection and cleaning, impact evaluation, and survey analysis-Perform descriptive analyses and translate them into charts and presentations to frame and clarify problems facing educational agencies-Created interactive school performance dashboard for the state of Kentucky using the d3 javascript library-Communicate results to partners and broader audiences, including presenting findings to high-level non-technical audiences such as school boards and superintendents, writing technical sections of publications and briefs, and presenting at academic conferences-Run program evaluations using a variety of quasi-experimental approaches (difference-in-differences, regression discontinuity, coarsened exact matching, propensity score blocking) -Develop Stata programs for data cleaning and statistical analysis to be used across projects and staff

-Analyzed large-scale time series and panel datasets, including individual account-level data over multiple years to estimate the impact of various efficiency measures implemented at different points in time-Developed and refine regression models to predict utility bills-Used energy simulation modeling and analysis to determine impacts of efficiency measures-Created, organized, and quality checked datasets from various government and public sources-Reported and presented findings to both technical and non-technical audiences

-Compiled a literature review on the effects of interviewer characteristics on survey responses-Shaped and tailored data from the Bureau of Labor Statistics to create a usable data set-Executed and analyzed linear regressions relating to the effects of interviewer and respondent characteristics on survey outcomes

-Tutored inner-city high school sophomores one-on-one in biology and algebra-Monitored students' daily progress and course goals to create daily lesson plans-Remained proactive in student discipline and behavior management

-Worked independently and with small teams to research urban quality-Found and analyzed data on crime and demographics using Stata SE and the IPUMS database-Copyedited and proofread academic papers concerning urban economics-Wrote informal reports to convey research results

-Volunteered in a bakery established in conjunction with a homeless shelter in urban Boston-Managed the simultaneous mixing, preparation, and storage of multiple recipes