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  • Data science

    Discover knowledge and mining insights from data to resolve context-specific business problems such as predictive maintenance, churn prediction, demand forecasting, etc.

  • Python/R

    Wrangle, clean, and manipulate structured and unstructured data, create and deploy machine learning model, distributed and parallel computation with Microsoft and open source technologies.

  • Machine learning

    Create standalone machine learning model, ensemble of models, deep learning model, etc., for applications of predictive analysis, natural language processing, image classification, etc.

  • Cloud computing

    Process data science and machine learning analytics elastically and economically on cloud computing resources with Microsoft Azure cloud platform.

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