• Designed a data-cleaning workflow using SQL, Python, and voter file data to regularly update a spreadsheet identifying the most competitive congressional and state legislature districts to advise staff on where to run voter mobilization programs for the 2022 midterm elections• Measured the use of VoteAmerica's online voter tools over the course of the 2021 and 2022 election cycles by creating SQL workflows that provided daily, automated updates to KPI reports• Implemented a randomized control trial (RCT) to measure the effect of sending text message election reminders to over 800,000 California voters for the 2021 CA gubernatorial recall election and evaluated the results of this RCT using R • Maintained documentation on the schemas and tables within VoteAmerica's data warehouse (Redshift/Civis Platform) and documented SQL, Python, and R scripts in Github• Created visualization dashboards in the Periscope Data BI platform using SQL to analyze the demographic makeup of VoteAmerica’s 1 million-member email list• Produced a web scraping, Python script using Selenium to automate the data collection and download of over 50 CSVs for a data-reporting workflow• Developed Python scripts to collect data from APIs and transform JSON files into structured, cleaned tables within VoteAmerica's data warehouse• Developed a Python data-cleaning script to detect and correct faulty, unstandardized addresses among 400,000 records for a voter turnout program• Drafted memos to communicate the technical and statistical results of voter turnout programs to VoteAmerica staff and external donors

• Streamlined the demographic analysis of audience lists belonging to nonpartisan organizations by creating a Python script that automated the creation of data visualizations, cross-tables, and slide decks, reducing labor time from 10 hours to 15 minutes• Produced a matching script that uniquely matched over 10,000 individuals in uncleaned survey data to state voter files using fuzzy matching techniques• Assisted CEO with researching the vote-by-mail policies of key swing states in the leadup to the 2020 presidential election

• Constructed a unique dataset of over 400 hate crimes against Muslims in the United Kingdom from 2010-2013 to examine the effect of Islamophobic incidents on the assimilation behavior of Muslim adolescents• Assisted with the creation and testing of 12 Qualtrics surveys for future field research on decision-making • Conducted a literature review of assimilationist and nation-building policies within different countries, and examined their effects on the ethnic identities of citizens

• Gathered data from existing databases and data reports related to migration patterns, commuting practices, housing affordability indices, and life satisfaction ratings in order to analyze the San Francisco Bay Area housing crisis• Summarized news articles reporting on local policies and community members’ experiences with the housing crisis

• Created a unique dataset of county healthcare programs offered to undocumented immigrants in California from 2000 to 2018 to serve as a basis for future projects evaluating the health outcomes of California immigrants• Conducted bilingual, qualitative phone surveys with participants in a panel study concerning the effects of citizenship on the livelihood and integration of immigrants• Wrote a literature review on the attitudes and prejudice towards refugees in the Middle East and North Africa region