Ảnh đại diện của RofaelEmil
@RofaelEmil
Cờ của Egypt Alexandria, Egypt
Thành viên từ June, 2014
0 Đề xuất

Rofael E.

Trực tuyến Ngoại tuyến
Junior R&D data scientist, with solid algorithmic, machine learning, data science background. Enthusiastic reader with curiosity to learn new ideas and techniques. Creative, innovative and self-motivated researcher with wide experience and knowledge spread in different fields and worked with many programming languages and platforms. * Python, R, Tensorflow, MatLab. * Machine Learning, Data Science, Big Data. * Algorithms, Data Structure, Analytical Thinking. * Database development, Web/Mobile Development. * Java, C/C++, C#, PHP.
$25 USD/giờ
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Kinh nghiệm

Junior R&D Data Scientist

Jul 2016

worked in Machine Learning, Data Science, Natural Language Processing (NLP), Business Intelligence. – Research and Data Science: Statistical Machine Translation and Transliteration (SMT), Moses translation system and Anomaly detection. – Big Data, Data Science and ML: Spark [MLLib, Streaming], Scala, python, R, Solr. – Business Intelligence and GIS: MicroStrategy (BI), Tableau (BI), SAP Business Objects (SAP BO), OBIEE, Mapbox, QGIS, ArcGIS(esri) and Google Maps.

Giáo dục

Bachelor of Computer and Systems Engineering- Excellence with Degree of Honor

2011 - 2016 (5 years)

Các xuất bản

Stats-Calculus Pose Descriptor Feeding A Discrete HMM Low-latency Detection

Recognition of human actions, under low observational latency, is a growing interest topic, nowadays. Many approaches have been represented based on a provided set of 3D Cartesian coordinates system originated at a certain specific point located on a root joint. In this paper, We will present a statistical detection and recognition system using Hidden Markov Model using 7 types of pose descriptors.

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