Analyzed customer activities of a music hosting service using Spark Dataframe and Spark SQL on a 247.6 MB dataset running on IBM Watson Studio. Built ML Pipeline with Spark ML to predict churn with 0.74 F1 score and 0.8 accuracy.

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