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1. customer-retention-causal-analysis customer-retention-causal-analysis Public

   Causal inference on a retention campaign. 19.3% of the customer base was actively harmed by the same intervention that helped everyone else.

   Jupyter Notebook

2. ml-foundations-coursework ml-foundations-coursework Public

   Supervised and unsupervised learning exercises from the M.P.S. Analytics program. Learning exercises, not portfolio work.

   Jupyter Notebook

3. movie-analytics-pyspark movie-analytics-pyspark Public

   1.2M records in PySpark. Clustering, recommendation and topic modeling at a scale where pandas stops being an option.

   Jupyter Notebook

4. seattle-vision-zero-analysis seattle-vision-zero-analysis Public

   262K police-reported collisions, Python. Where Seattle's injury risk actually is — and why the city's highest-risk corridor has 89% of its signals rated poor.

   Python

5. telco-churn-prediction telco-churn-prediction Public

   Churn prediction with AutoGluon and SHAP. Model comparison, feature attribution, and what the accuracy number hides.

   Jupyter Notebook

6. us-traffic-disruption-analysis us-traffic-disruption-analysis Public

   7.7M accident records, R. What makes a crash block traffic for longer — and why this dataset cannot answer questions about injuries.

   R