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CPS Selective Enrollment Admissions Simulation
Independent Research — github.com/andrewdhood/cps_match
- Applied Maximum Likelihood Estimation to recover hidden population parameters from published admissions data
- Built a Monte Carlo simulation in Python (NumPy, Pandas, Matplotlib) modeling 22,000 students across all 11 selective enrollment schools
- Published findings to help families from underserved communities understand their true competitive position
- Published analytical essay “On the Weight of a Number” exploring equity and statistical methodology