Case Studies

Real ML Projects, Real Results

Step-by-step breakdowns of actual data science projects — from messy raw data to deployed production model, with all the decisions and tradeoffs explained.

Healthcare

18% reduction in 30-day readmission rate

Predicting Hospital Readmissions with Gradient Boosting

How a regional hospital system used XGBoost and clinical feature engineering to flag high-risk patients — reducing readmission costs by $2.3M annually.

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Retail

+34% click-through on recommendations

E-Commerce Recommendation Engine with Matrix Factorization

Building a collaborative filtering engine from scratch for a mid-size e-commerce platform, from data sparsity challenges to cold-start problem solutions.

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FinTech

$1.1M fraud prevented in Q1 alone

Real-Time Fraud Detection with Streaming ML

End-to-end fraud pipeline using Kafka, scikit-learn, and FastAPI — processing 50,000 transactions per second with sub-200ms inference latency.

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Media

82% reduction in manual tagging hours

Image Auto-Tagging at Scale with Transfer Learning

How a media company automated their content taxonomy using fine-tuned EfficientNet — processing 200,000 images daily with 96.4% accuracy.

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