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@mlchrzan
mlchrzan
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Michael Chrzan mlchrzan

Data Scientist @ EDSI | Education Data Science @ Stanford GSE (4.1) | Uncovering Data Insights for Transformative Impact

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mlchrzan /README.md

👋🏽 Hi, I’m @mlchrzan!

Welcome to my GitHub profile! I'm a passionate Data Scientist and former Master Teacher with over a decade of experience at the intersection of education, policy, and data science. 🎓📊

About Me

"Chrzan" is pronounced "chr" like chirp and "zen" like the state of mind.

I specialize in leveraging cutting-edge machine learning, predictive modeling, causal inference, and natural language processing to tackle real-world challenges in K–12 education and beyond. Currently, I work at the Center for Educational Data Science and Innovation (EDSI), where I focus on using AI to support equitable outcomes in teaching and learning, scenario modeling for school closure policies, and the ethical application of AI in education. 🤖✨

My journey has taken me through impactful research roles, EdTech environments, and hands-on teaching at K–12 and university levels. I’m deeply committed to using data science to create fairer, smarter educational systems. 🌍📚

What You'll Find Here

  • Projects applying AI and machine learning to improve educational equity 🎯
  • Predictive models forecasting school closures and shaping policy 📈
  • Natural language processing tools analyzing community feedback and educational data 🗣️
  • Scenario generation algorithms to help schools make data-driven decisions 🔍
  • Explorations on bias reduction in AI and ethical AI innovation ⚖️
  • Research supporting strategic education policy and impactful EdTech products 🏫

Tools & Technologies I Love

R, Python, SQL, PyTorch, Pandas, Tidyverse, PostgreSQL, deep learning frameworks, and statistical modeling techniques such as linear regression, IRT, and causal inference. 🛠️💻

Current Areas I'm Growing

I've been working on improving my sfotware development and MLOps skills as well as wanting to learn more about Graph Neural Networks, Social Network Analysis, and Neuroeconomics!

Fun Facts & Interests

  • I was a Master Teacher and math instructor, mentoring future educators and designing project-based learning frameworks. 🎓📐
  • I enjoy gaming—both video and tabletop—as well as diving into data simulation and AI bias reduction. 🎲🎮
  • I've been honored with awards including the Dean’s Fellowship at Stanford and scholarships like the Gates Millennium and Coca-Cola Scholars. 🏆

Let's Connect!

Feel free to explore my repositories, where I share research projects, educational tools, and code that bridges data science and education. Whether you're an educator, researcher, policymaker, or fellow data enthusiast, I hope my work inspires and empowers you! 🚀

Reach out anytime via my LinkedIn.

Thanks for stopping by! Together, let's transform education with data and AI. 🌟📊

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  1. Deeper-Roots Deeper-Roots Public

    Early-warning machine learning system to predict mass public school closures (≥10% of schools in a district) five years in advance using NCES administrative data (2000–2018). Built to support equit...

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  2. SEM-parental-beliefs-on-academics SEM-parental-beliefs-on-academics Public

    This project attempts to examine the connection between parental background, parental beliefs, and academic outcomes while including something not yet broadly considered in the literature: their be...

  3. Divine-Inspiration-Network-Analysis Divine-Inspiration-Network-Analysis Public

    This study explores the themes of destruction and hope in the Prophets section of the Bible using topic modeling and network analysis. By applying Latent Dirichlet Allocation (LDA), we identify cen...

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