Consulting Services
Data Science for Impact
I partner organizations to translate complex data challenges into actionable insights that drive equitable outcomes. With over a decade bridging K-12 education practice and advanced analytics, I bring both deep domain expertise and technical rigor to every engagement. So far in my short data science career, I have worked with school districts, education nonprofits, and EdTech companies to support their data-informed decision-making, research, and evaluation needs.
What I Offer
Strategic Data Analysis & Research
- Predictive modeling for forecasting and resource optimization
- Machine learning applications for early warning systems and intervention targeting
- Natural language processing for analyzing qualitative feedback, surveys, and community input
- Causal inference studies to evaluate program effectiveness and policy impacts
Education Policy & Planning Support
- Evidence-based decision support for leadership and policy teams
- Data protocol development for leadership and continuous improvement
- School closure scenario analysis with equity-centered metrics and community impact modeling
- Resource allocation optimization using data-driven frameworks
Tool Development & Technical Solutions
- Custom Python and R packages for measurement, analysis, reporting, and data processing
- Dashboard and visualization systems for stakeholder communication
- Data pipeline automation to streamline reporting and analytics workflows
Why Work With Me
Technical Excellence — Education in Data Science from Stanford University (M.S. in Education Data Science - 4.1 GPA, Dean’s Fellow) with specializations in causal methods, machine learning, NLP, and measurement. Published research and active contributor to open-source tools.
Practical Impact — I focus on delivering actionable insights, not just reports. Whether it’s early warning systems, policy simulations, or analysis tools, my work is designed to support real decisions and drive meaningful change.
Equity-Centered Approach — My work prioritizes historically underserved communities. I develop metrics uncorrelated with historical inequities and design analyses that surface rather than obscure equity concerns.
Deep Education Expertise — Ten years as a classroom teacher and Math Master Teacher means I understand the realities of schools, not just the data. I’ve mentored 20+ teaching interns, led instructional teams, and driven measurable improvements in student outcomes.
Current Focus Areas
- Developing rigorous, reliable, and valid measurement processes
- Process modeling and simulation
- Evidence-based policy evaluation
- Ethical and equitable AI implementation
- Large-scale administrative data analysis
- Community feedback and stakeholder engagement analysis
Select Client Work
DonorsChoose - Utilized natural language processing to develop pipelines for extracting classroom needs as described in teacher project proposals, enabling more impactful analysis of the problems facing K-12 schools across the United States.
Bellwether Education Partners — Contributed to the development of edfinr, an open-source R package supporting education finance data analysis and visualization for researchers and policymakers nationwide.
San Francisco Unified School District — Built a comprehensive scenario generation algorithm evaluating 400+ viable school closure options with equity-focused quality indicators, enabling data-informed decision-making that minimized harm to vulnerable communities.
National Summer School Academies — Designed and implemented data processing workflows to support program evaluation and continuous improvement across multiple sites.
Let’s Talk
Whether you’re facing a specific data challenge, planning a complex policy decision, or looking to build internal analytics capacity, I’d be happy to discuss how I can help.
Contact: mlchrzan1@gmail.com
LinkedIn: linkedin.com/in/mlchrzan
Currently accepting select consulting engagements while maintaining my role as Senior Data Scientist at the University of Maryland Center for Educational Data Science and Innovation (EDSI).