Writing
Applied data science writing covering machine learning, statistical modeling, data engineering, and operations research — published on Medium.
Since 2017
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A 4-part deep dive into estimating per-SKU processing times using constrained linear regression and Monte Carlo simulation — translating raw warehouse data into actionable operational insights.
A Poisson-simulation analysis to find the exact break-even point between pay-per-ride and unlimited — so NYC commuters can make the mathematically optimal transit choice.
How Kaiyo tackled web-analytics data quality at scale using Elementary's anomaly detection — a practical guest post on building trust in your data pipeline.
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