Imej profil RofaelEmil
@RofaelEmil
Penanda Egypt Alexandria, Egypt
Ahli semenjak 28 Jun 2014
0 Cadangan

RofaelEmil

Dalam Talian Luar Talian
* Data Science and Machine Learning: NLTK, MatLab, Octave, R, Python, Scala, WEKA, Keras, Tensorflow, CUDA, OpenCV * Programming: C/C++, Java, C#, Python, Scala * Web Development: PHP, Ruby on Rails (RoR), JSP, JavaScript, Flask * Database Development: MongoDB, MS SQL, MySQL, SQLite, Postgres, Oracle, PL/SQL * Big Data: Hadoop, Cloudera, Spark, Solr, Neo4j, NoSQL, Hive * Web Services: SOAP, WSDL, SOA, REST, JAX-RS, JAX-WS, Jersey, XSLT, IBM DataPower Gateway, IBM Integration Bus * Business Intelligence and ETL: Tableau, OBIEE, Informatica PowerCenter, SSIS and MicroStrategy
$15 USD/hr
0 ulasan
0.0
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  • N/ATepat Pada Masa
  • N/AKadar Ulang Upah

Portfolio

Ulasan Terkini

Tiada ulasan.

Pengalaman

Software Engineer

Jul 2016

* succeeded to build a transliteration system (Arabic to English) * providing new technologies, insightful research on Money Laundry, Anomaly Detection and Financial Fraudulence * experience in Big Data, Solr, Data Science, Python, Scala, Machine Learning. *experience in Java, ESQL, SOA, SOAP, WSDL, REST, XSLT, JMeter, IBM Integration Bus, Oracle database. * experience in ETL, BI, OBIEE and Oracle database.

Pendidikan

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

2011 - 2016 (5 years)

Penerbitan

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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