Lead Math Teacher (07/2017 - 08/2024)
Served as a lead math teacher applying applied data science practices in Python to evaluate student performance and improve instruction. Used statistical techniques and data visualization (e.g., box plots, histograms, five-number summaries) to identify learning trends and performance insights. Although the work was educational rather than platform-based labeling, it involved structured analysis of student data to support evidence-based remediation and advancement decisions. • Implemented data-driven remediation and advancement plans based on evaluated trends in student performance. • Collected and assessed the quality and validity of student data sources to ensure accuracy for instructional decisions. • Produced data presentations and instructional guidance to mentor teachers and residency participants. • Coordinated network-wide monitoring of math performance and assessment outcomes over multiple years.