Michael Leon Chrzan

Data Scientist bridging K12 education practice, policy, and advanced analytics through machine learning, causal inference, and NLP to drive educational equity and evidence-based improvement at scale.

Package: pairadigm - Python Package for Text Measurement

Author of a Python library designed to streamline the creation of high-quality, continuous measurement scales from text using Large Language Models (LLMs). The package enables researchers and practitioners to develop robust measurement instruments for analyzing text data at scale, with applications in education research, social science, and beyond.

Package: edfinr on GitHub - Education Finance Data Analysis in R

Contributor to an open-source R package supporting education finance data analysis. The package facilitates accessing, processing, and visualizing longitudinal K-12 finance data to inform policy and research. I collaborated on development, documentation, and testing to make education finance data more accessible to researchers and policymakers.