Provided clients - including nonprofits, non-government organizations, and philanthropies - with consultation, granular data, and robust tools, empowering them to more effectively understand and engage with their audience and increase revenue generationCreated advanced, parameterized ETL pipelines to integrate data from multiple CRMs, anonymize personally identifiable information, clean/standardize variables, and create dynamic tables for Tableau reports of key donation/engagement summary statisticsDeveloped machine learning lookalike models that enable nonprofit advertising campaigns to identify individuals within a designated geographic area that are most likely to become subscribers/donors; worked within organizations’ budgetary constraintsManaged every component of client relationships - including internal/external communications, timelines, roles and responsibilities, and general strategy - simultaneously across 5+ projects with 15-50+ stakeholders each; projects generated 1.75 million dollars in company revenueConducted randomized controlled trials to measure the persuasion of political advertisements and ballot initiative wording to help inform state and federal political campaign team strategy Collaborated with business development, product, and executive teams in order to create new product offerings in anticipation of market demands on the horizonLed audits of company-wide coding infrastructure/logic, documentation, and methodological best practices; this results in more efficient internal workstreams and methodology sound deliverables

Created predictive models of public opinion with machine learning on state-level education legislation and COVID-19 vaccine hesitancy across states, counties, zip codes, and Designated Market Areas (DMAs)Designed, programmed, fielded, and analyzed nationally representative surveys and oversamples in Qualtrics and LucidSynthesized findings and provided actionable insights in memos, reports, and slides for audiences of varying technical experience including marketing vice presidents, fundraising executives, data engineers, and lobbyistsConducted internal/external meetings and workshops/summits with 100+ attendeesManaged and processed client data, including personally identifiable information, in adherence to security best practices

Wrote five reports on agricultural trends, projections, and R&D based on my independent research and data analysisCreated static and dynamic data visualizations for the organization’s websiteContributed to a weekly newsletter about agriculture, food security, climate change, migration, and gender equity

Analyzed the effectiveness of assessment and intervention tools designed to address achievement gaps and my findings were incorporated as a component of the adopted CPS 5 Year Vision PlanPerformed regular disaggregated data checks in order to ensure that historically vulnerable demographics and underperforming schools were getting additional attention and assistanceContributed to an early elementary assessment equity analysis that resulted in changes to district assessment measurement approaches and prioritiesCreated interactive models that were sent to all 16 district network chiefs and 514 principals, helping them to quickly visualize network and school performance across different assessmentsCompleted budgeting forecast and contract recommendations for $3.5 million in assessment related expenditures for fiscal years 2019-2021

Graded exams and papers, created test questions, held regular office hours, lead exam reviews, and lectured for the courses “American Government” and “The Comprehensive Notion of European Security”Across four classes, I was responsible for a total of 1270 students

Compiled and analyzed terrorist attacks in the Philippines, in conjunction with the World Trade Organization, in order to determine whether resource extraction was leading to increased rates of terrorismThe project required extensive research, data collection and merging, web scraping, R, Stata, and Excel

Assisted constituents over the phone and aided staff with individual case assignments, often communicating and coordinating with the U.S. Department of Veterans Affairs and U.S. Citizenship and Immigration Services

Prepared test subjects for experiments and coded data