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Data | Strategy | Change Management

Strategy and systems for work that matters.

Currently leading strategy and analytics at DC CAP Scholars, where we've transformed retention and graduation outcomes for low-income, first-generation college students in D.C.

Preston Magouirk

Selected Work

A selection of strategic initiatives, data architecture projects, and research partnerships.

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Senior Leadership: Strategy, Data & Partnerships

DC College Access Program (DC CAP)

Leading the programmatic and data strategy for a major college access organization. Spearheaded a digital transformation saving over $500k/annually and reducing admin time by >50%. Directed the strategic shift toward a local, partnership-based support model that increased retention rates to over 85%, graduation rates at leading partners to between 75-95%, and aligned our programmatic strategy with the CEO's "2050 Moonshot Goal" (80% college completion). Designed the disbursement process for $5.4M in annual scholarships and developed financial modeling tools for strategic planning.

Digital Transformation Strategic Planning Financial Modeling Partnership Management
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Founding Leader, Data Analytics and Research

Data Analytics & Research at Common App

Founding team member responsible for designing and building the analytics environment for America's largest single source of college application data. Transformed the platform into a public good by establishing a dual-engine approach: building internal capacity for rapid public-facing reporting and cultivating external partnerships for rigorous interventions and evaluation. Designed and led randomized control trials on direct admissions and text messaging information campaigns. Developed research agenda and led founding Analytics & Research function.

Data Architecture RCTs Public Reporting Strategic Partnerships Higher Ed Policy
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University of Virginia / SEELA (2015–2020)

Systemwide Quality Improvement in Louisiana

Partnered with the Louisiana Department of Education to evaluate a massive statewide reform unifying fragmented early childhood sectors. Led survey development, and longitudinal cleaning and analysis. The resulting study provides the first statewide exploration of long-term early care and education program quality, improvement, and variability by key program characteristics, highlighting how detailed data collected in a mandatory QRIS can enhance understanding of quality improvement.

Survey Design Validation Studies Longitudinal Analysis Stata/R
View SEELA Partnership

Technical Toolkit

The languages, frameworks, and platforms I use to build systems.

Data Science & Analysis

  • R (tidyverse)
  • Stata
  • Python (Pandas/NumPy)
  • SQL
  • Causal Inference
  • Survey Design

Engineering & Web

  • Astro
  • React
  • Tailwind CSS
  • Git / GitHub
  • VS Code + Cursor

Platforms & Strategy

  • Salesforce Education Cloud
  • Tableau
  • Financial Modeling
  • Strategic Planning

AI & Automation

  • AI System Design
  • Multi-Agent Orchestration
  • Workflow Automation