- Kyoto, Japan
- @ArcilaJoseph
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Predicting_User_Cancelation_with_Spark
Predicting_User_Cancelation_with_Spark PublicData manipulation and Machine Learning with Spark to engineer relevant features for predicting which users will cancel their music streaming service.
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Recommendation-Engines-for-the-IBM-Watson-Studio-Platform
Recommendation-Engines-for-the-IBM-Watson-Studio-Platform PublicIn this project, I built various recommendation engines, based on user behavior and social network for the IBM Watson Studio's data platform, to surface content most likely to be relevant to a user.
Jupyter Notebook
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Disaster-Response-Pipelines
Disaster-Response-Pipelines PublicA data pipeline to prepare message data from major natural disasters around the world with machine learning pipeline to categorize emergency messages based on the needs communicated by the sender.
Jupyter Notebook
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Differences-from-Top-Data-Scientists
Differences-from-Top-Data-Scientists PublicThe tools you use, and the way you approach learning can have a significant correlation with how much you get paid for your work as a data scientist.
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