matthew burns
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Matthew Burns

Senior Data Scientist / ML Engineer — Supply Chain & Logistics ML

I build production ML systems that work outside the notebook — from end-to-end NLP pipelines on 130M-row datasets to collaborative filtering at scale. My background spans mechanical engineering, supply chain operations, and a Master’s in Applied Data Science, giving me an edge on problems where domain knowledge and ML engineering depth both matter.

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Featured Projects

From Notebook to Production: What Sentiment Analysis Actually Takes

A practitioner’s account of building a production-ready classifier on 130 million Amazon reviews, and everything a Jupyter notebook doesn’t teach you.

May 25, 2026

Steam Recommender System

Recommending Games Based on User Playtime

End-to-end recommender system pipeline: ingesting 5M+ Steam playtime records, applying implicit-feedback ALS, and achieving 79.79% NDCG@10 on held-out data.

Jan 19, 2026
Matthew Burns
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About Me

From mechanical engineering to supply chain analytics to ML systems — my career has followed the data. I’m currently finishing a Master’s in Applied Data Science, applying rigorous methods to high-impact problems in forecasting, NLP, and optimization.

More about me → LinkedIn GitHub