AWS NYC 311 Service Resolution Modeling
Leakage-safe classification baseline built from 49,999 records, with six automated checks and complete evaluation metrics.
Project catalog
A curated view of the analytical work, technical experiments, and creative projects behind my GitHub profile.
Employer-ready
These are the strongest public technical examples and the best place for a hiring manager to start.
Leakage-safe classification baseline built from 49,999 records, with six automated checks and complete evaluation metrics.
Python and pandas workflow with source-to-output reconciliation, eight pipeline checks, and four unit tests.
Data-lead work structuring car-, condition-, and segment-level comparisons across months of private train-run data.
Supporting work
Useful supporting examples that sit behind the flagship modeling, reporting, and professional-analysis work.
Reproducible MySQL analysis with payment reconciliation and five automated checks, retained as supporting work rather than a flagship project.
Explorations of power iteration, Monte Carlo estimation, Numba acceleration, and controlled HPC timing—focused on how algorithm design changes computational behavior.
A compact experiment using JIT compilation and a recorded Slurm run to compare implementation choices in Monte Carlo estimation.
Built for fun
Small, playful builds where I can experiment with interaction, rules, and code.
Two-player Python Turtle game with independent controls, scoring, growth, and player-to-player collision logic.
Appendix
Additional projects I am continuing to develop and document.
A notebook exploring Ballon d’Or rankings through visualization and regression, with the project inputs and documentation being expanded.
A multi-page website exploring how a community platform could organize resources and participation around responsible AI in Africa.
An exploration of how to structure work involving eigenvalues, PCA, Numba, and performance benchmarking.