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mlchrzan/README.md

๐Ÿ‘‹๐Ÿฝ Hi, Iโ€™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. ๐ŸŽ“๐Ÿ“Š

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 Kโ€“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. ๐Ÿค–โœจ

My journey has taken me through impactful research roles, EdTech environments, and hands-on teaching at Kโ€“12 and university levels. Iโ€™m deeply committed to using data science to create fairer, smarter educational systems. ๐ŸŒ๐Ÿ“š

What You'll Find Here

  • Projects applying AI and machine learning to improve educational equity ๐ŸŽฏ
  • Predictive models forecasting school closures and shaping policy ๐Ÿ“ˆ
  • Natural language processing tools analyzing community feedback and educational data ๐Ÿ—ฃ๏ธ
  • Scenario generation algorithms to help schools make data-driven decisions ๐Ÿ”
  • Explorations on bias reduction in AI and ethical AI innovation โš–๏ธ
  • Research supporting strategic education policy and impactful EdTech products ๐Ÿซ

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. ๐Ÿ› ๏ธ๐Ÿ’ป

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. ๐ŸŽ“๐Ÿ“
  • I enjoy gamingโ€”both video and tabletopโ€”as well as diving into data simulation and AI bias reduction. ๐ŸŽฒ๐ŸŽฎ
  • I've been honored with awards including the Deanโ€™s Fellowship at Stanford and scholarships like the Gates Millennium and Coca-Cola Scholars. ๐Ÿ†

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! ๐Ÿš€

Reach out anytime via my LinkedIn.

Thanks for stopping by! Together, let's transform education with data and AI. ๐ŸŒŸ๐Ÿ“Š

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  1. Deeper-Roots Deeper-Roots Public

    Early-warning machine learning system to predict mass public school closures (โ‰ฅ10% of schools in a district) five years in advance using NCES administrative data (2000โ€“2018). Built to support equitโ€ฆ

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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 beโ€ฆ

  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 cenโ€ฆ