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Boualam HASNOUN

Levallois-Perret

Electionsmunicipales 2026

RETROUVEZ GRATUITEMENTRésultat municipales à Paris

En résumé

Mes compétences :
Python
PostgreSQL
Java
MATLAB
Microsoft Excel
Jython
Shell
Javascript
Kibana
Elasticsearch
3D Studio Max
Spark
Logstash
Hive
Hadoop

Entreprises

  • OPEN - Big Data Consultant

    Levallois-Perret 2016 - maintenant • Data Processing, Data Science
    Data cleaning, munging, processing.
    Predictive models:
    Linear regression, Logistic regression. Random forest.
    (Python, pandas, scikit-learn, Spark Scala, Spark MLlib, Spark SQL)

    • Data Scraping.
    Screen Scraping and API.
    Ingestion and vizualisation.
    (API Twitter, Google, Selenium. Python, Elasticsearch, Logstash, Kibana)

    • Formation NoSQL et technologies Big Data (8 jours)
    NoSQL (MongDB, Redis, OrientDB, Cassandra)
    Hadoop (HDFS, MapReduce, Pig, Hive), Apache Spark (Scala)

    Main Operating Systems : MacOS/X, Linux
    Methodology, Tools : iPython, Zeppelin, Ambari, Microsoft Cloud Azure, Hortonworks

  • Institut d'Astrophysique Spatiale, CNRS - Ingénieur d'études

    2011 - 2015 Function : Scientific Software Development.
    Team work and collaboration with engineers, researchers and post-doc from IAS and other laboratories in order to do:
    • Data processing [ Jython, Python, Java ]
    • Database administration [ PostGreSQL (psycopg2), MongoDB (pymongo) ]
    • Web development [ Java, HTML5, JavaScript, ExtJS 3.4, flotr2.js, D3.js ]
    • Software development [ Python, Jython, pandas, scikit-learn ]
    • Software development [ Java, Matlab Builder JA ]

    Main Operating Systems : MacOS/X, Linux (cluster machine)
    Methodology, Tools : Redmine, LiClipse (Python Eclipse IDE), GitLab, Agile, Sphinx

  • Centre National d'Etudes Spatiales (C.N.E.S.) - Stagiaire

    Paris 2010 - 2010 5 months internship at “Centre National d’Etudes Spatiales” (French Spatial Agency) in Toulouse

    Subject: “Random number generation optimization in the estimation of the risk of fragment fall back”
    Quasi Monte-Carlo and Variance Reduction methods, design, implementation and testing in ELECTRA software (spacecraft launch and re-entry safety analysis tool, developed in Fortran95)

    Accomplished Tasks:
    Documentary Research (Scientific Publications),
    Algorithm Implementation (Fortran95, SunStudio on Solaris 8)
    Script Writing (Shell Scripting, Perl)
    Statistics Tests (R, Scilab, Excel)

Formations

Réseau

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