I like solving complex and varied problems that require logical creativity and autonomy. My current knowledge is mainly deep learning, machine learning, artificial intelligence, mathematics, statistics and risk model. My past 3 years of work experience are in development and R & D. I classify myself as a specialist in Python and database systems (SQL/NoSQL), I enjoy my days doing research and playing with all kinds of geospatial data and unstructured, reproducing deep learning model and text mining project. Mainly focusing to use Tensorflow and improve my understanding of Hadoop (MapReduce, YARN, HDFS). I also do some software and web programming, plus the ability to integrate all third parts scripts, software, database and cloud platform to a secure network. I do almost everything related to data/programming with a touch of AI/BI with an analytic point of view. Without forgetting my capability to execute data engineering on the geospatial variable, and find what inputs it can give us to improve our understanding of clients and risk. I like to be constantly learning and I have a strong interest in applied research in the field of deep learning, bio/medical and humanitarian subjects.
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