AWS NYC 311 Service Resolution Modeling
Can public service requests be classified by whether they close within 72 hours—without leaking the answer into the model?
- 78.71% accuracy
- 79.88% balanced accuracy
- 88.30% ROC AUC
- 6/6 validation checks passed

Python · SQL · data quality · reporting
I’m Ekow Yalley, an operations-minded data analyst and University of Michigan graduate with a B.S. double major in Data Science (Econometrics) and Biology. I use Python, SQL, and statistical modeling to turn operational questions into clear analysis.
Selected case studies
The featured work combines reproducible public projects with professional analysis built from private operating data.
Can public service requests be classified by whether they close within 72 hours—without leaking the answer into the model?

How can two small source files become a clean, repeatable regional report with validation before and after the join?
As Data Lead, structured car-, condition-, and segment-level comparisons across months of train-run data and turned recurring behavioral differences into visual material for technical team discussions.
Project library
Games, numerical experiments, and small technical builds that let me test ideas outside formal project work.
Fun project · runnable
A two-player Snake game built with Python Turtle, including independent controls, scoring, growth, and player-to-player collision logic.
View project →Computational methods · reviewed
Power iteration, Numba acceleration, Monte Carlo estimation, and recorded HPC timing experiments.
View project →How I work
Translate a broad request into a specific decision, target, or reporting output.
Check types, missing values, duplicates, join keys, ranges, and row-level exceptions.
Keep setup, transformations, dependencies, and run instructions understandable to another analyst.
Compare totals, test assumptions, quantify exclusions, and state what the output cannot prove.
About Ekow
I’m most interested in the point where numbers become a practical decision: what to prioritize, where a process is breaking down, or how to make a recurring workflow clearer.
At Eco-Rubber Limited, I build data workflows spanning agricultural planning, factory monitoring, inventory, purchasing, and logistics.
I also founded Equiduct Education Program, a 501(c)(3) that connects college volunteers with K–12 students for free tutoring and mentorship.
Outside work, I’m a Manchester City supporter and NBA fan, and I follow both the Premier League and Champions League closely.