Freelancer profile translated to English.
Back to original languageAbout Jean-Luc
Being good at what you do is good, knowing why you do it is even better!
Data Scientist specialized in processing and enhancing data in "Big Data" environments, particularly the Spark Framework and the entire Hadoop Ecosystem.
I had the opportunity to work on various projects in the industry sector such as Energy or Mass Retail by applying Agile methodologies to implement solutions that allow for both exploratory data analysis, enabling the client to know what they have in their "hands", while highlighting insights through Machine Learning methods that can be repositioned as applications, thus allowing non-experts to quickly extract the desired indicator...
English
Native or bilingual
French
Native or bilingual
Can work on-site
Lyon (up to 50km), Paris (up to km), Nanterre (up to km), Nantes (up to km)
Experience
- MySelfCloud Data EngineerDIGITAL AND ITMarch 2020 - September 2020 (7 months)Lyon, FranceDatabase constitution:-Extraction of metadata-Discrimination of User/Rating information-Grouping of movie information-Joining of Users and Movies tables. Grouping of Users by Ratings/Genres. Correlation study on User profiles by group. Extraction of Highest-Rated Movies by user profile type
- ENEDIS (Ex ERDF)Test Performance EngineerENERGY AND UTILITIESSeptember 2018 - August 2019 (11 months)Lyon, France· Scoping meetings with functional teams· Implementation of scenario scripts (user injection + navigation of UI for placement and control applications)· Analysis of data exchanges (application -> database)· Simulation of mass deployment of counters (stress-test placement applications) and loading of CR (report)· Automation of processes· Analysis of performance tests and CPU load· Monitoring of cluster activity (CPU load monitoring)· Inventory of network flows in performance environments
- Carrefour - AUTRESData Scientist |Data EngineerRETAIL (LARGE RETAILERS)June 2018 - August 2018 (3 months)Massy, France· Constitution of a study database (PySpark to Spark/Scala)· Deployment of a machine learning model (to discriminate those who are prone to churn)· Analysis of model performance· Transfer of customer scoring from SPSS to PySpark
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Education
- Statistics, Computer Science and Data SciencesUniversity of Lyon 22017Formation orienté projet qui mettait en exergue les volets suivants de la Data Science et Big Data : -Machine Learning (SVM, neural networks, Clustering , Decision Tree Learning,..) -Datawarehousing, Textmining, Web mining (i.e social networks analysis , Recommendation Systems ) , --- -Data Visualization and reporting (with dataviz software : Tableau Software , QlikView , QlikSense) -packages creation (features engineering with R) [features subset selection Wrapper approach]
Certifications
- Scala and Spark for Big Data and Machine LearningUdemy2020
- Python and Spark for machine LearningUdemy2020