Aymen Khelifi

Double competence in Data Science and Big data-BI. Certified Big data. I participated in several projects in Big data Analytic at AirBus, Total, SFR, Banque de France, SwissLife, Allianz, Universal Music, L'Oreal, L'equipe …
* Interface between business and technical teams.
I have participated in several Big data project including:
* Fraud detection and money laundering (Spark - R, Hortonworks, Python, Hive, sqoop )
* Real Time Anti-churn for telecom using Big Data (Hive, Impala, Pig, Oozie, R, Cloudera)
* Product line management optimization (AzureML, HDinsight, Hive, spotfire)
* Predictive risk level of accident based on anomaly/near-miss events occurrences (unstructured data, full text reports, various databases)
* Two recommendation systems based in machine learning (Mahout, Spark, Impala, Hive)
* Several applications for semantic information extraction from large data (Teradata, Gate)

I have PhD in computer science. I participate in the functional and technical pre-sales and the vulgarization of big data technologies.

Languages and Technologies:
Operational: Identification of Big Data opportunity and project in assurance, telecom and energy.
Functional: Identification of Big Data opportunity and Interface between business and technical teams.
Big data : (Cloudera, Hortonworks, HdInsight, Big insight), (Hive, Impala, Pig, Sqoop, R, Big SQL, JQL, Flume, Mahout, Oozie), (Hadoop, Spark, MapReduce, HDFS)
Statistics : AzureML, SparckML, R, SPSS, KXEN, Python
Programming Languages : JAVA /JEE, Python, C/C++, PHP, XML, Bash.
JAVA Technology: Eclipse, JDBC, Jdom, RCP, HsqlDb.
DB and DBMS: Teradata, (SQL, PL/SQL, SQLOLAP) (MySQL, Sql Server, Access) (UML, Agile)