Mathieu Dumoulin

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If there is anything I am good at, it's the ability to understand a business problem and translate it into working, state of the art technology. I combine professional level skills of a big data architect, data engineer, machine learning engineer and data scientist. In Machine learning, Recently I've been working a lot with Hadoop (MapR's distribution) and Apache Spark, Apache Drill, Elasticsearch/Kibana and Kafka/MapR Streams for real-time event-driven processing. On the machine learning side, I have strong practical experience with supervised learning, especially applied to unstructured (text) data in English, Japanese and French. Within these data-related specialties, I am more of ...

mapr big data machine learning microservices kafka streaming spark hadoop enterprise h2o apache spark deep learning apache hadoop container orchestration containers converged tensorflow kubernetes predictive maintenance iot real-time sensor data science cep scalable strata singapore 2106 software architecture flink large scale benchmarks distributed caffeonspark java machine learning datarobot h2o mapreduce distribué fondamental introduction indroduction

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Mathieu Dumoulin

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