Julien Prusak
About
Julien Prusak is from Greater Paris Metropolitan Region. Julien works in the following industries: "Insurance". Julien is currently Ingénieur Big Data at Groupama, located in Puteaux. In Julien's previous role as a Ingénieur Big Data at EDF, Julien worked in until Mar 2018. Prior to joining EDF, Julien was a Ingénieur Big Data / Data Science at JEMS Group and held the position of Ingénieur Big Data / Data Science at neuilly sur seine. Prior to that, Julien was a Dev Big data at Groupe Renault from Jul 2016 to Feb 2017. Julien started working as Développeur Big data at Société Générale in La défense in Jan 2016. From Feb 2015 to Sep 2015, Julien was Data scientist at Atos. Prior to that, Julien was a Mission for ErDF - Data scientist at Atos from Jul 2015 to Jul 2015. Julien started working as BI engineer at BNP Paribas in Oct 2014.
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Julien Prusak's current jobs
développeur big data Utilisation de Cloud spark oozie (multithreading en plus de spark) scala yarn et mesos
Julien Prusak's past jobs
Prestataire Jems Intervention en tant que développeur de l'équipe infra afin de transmettre les bonnes pratiques aux clients du datalake. Intervention sur plusieurs uses case dont le plus important est de la BI sur hadoop. Technologies utilisées dans cette mission : Spark, Kafka, Oozie, Hdfs, Hortonworks, Ranger, Kerberos, Hive, Hbase, Shell, HyperIndex.
Poc Big data - Prestataire Jems Scala, Spark, Spark SQL, Hive, Elasticsearch, Kibana
Développeur Big data en tant que prestataire Jems
Tool : -Hadoop -Hive -OpenNLP -ELK (ElasticSearch Logstash Kibana) -R -Rhadoop / SparkR Data Mining: -Regression -Tweets analysis -Text Mining -Opinin mining -Log analysis -Fraud detection Customer survey analysis, text mining in R, Python Indexation in hadoop and Elasticsearch, Data visualization with kibana
Working for Atos : Mission about log analysis Tool: Spark (java)
Work for Aubay to BNP Paribas: Business Intelligence Technology: Java, Javascript, Teradata (Fastload, MultiLoad, bteq)
Business intelligence, Reporting Data analysis, Clustering, Associate rule mining, machine learning, in Java with Weka API. Results are indexing automatically on Mysql database and reporting on Exalead.
set up a tool library (JEE, Sharepoint 2007, Sharepoint designer 2007,Sharepoint 2013) and improve tool ( Java )
Creation of an online shop in ASP. Use of Acess for Data Base.
Working about Kalman filtering and on an inertial navigation. I Wrote a paper on latex on this subject