Ibrahima - Data Scientist DATA C++ BIG DATA DEVOPS

Ref : 220317C001
Email vérifié
Photo d'Ibrahima, Data Scientist DATA C++ BIG DATA DEVOPS
Compétences
Expériences professionnelles
  • R&D ENGINEER KEY ACCOMPLISHMENTS

    SYSFERA  Villeurbanne, France
    2012 - aujourd'hui

    Developed a Distributed Interactive Engineering Toolbox for Client-Server Applications in a Grid Environment.
     Developed a solution for the management of complex applications that can be executed on federated hybrid HPC environments, from clusters to Clouds.
     Architecture and detailed design a remote file management module
     Design and developed a command line interface for distributed solution.
     Development of unit and functional tests for computing resources management module
     Designed and developed a distributed solution in weather calculations
     Setting up of a continuous integration server
     Design and developed an advanced management tool for dynamic libraries
     Design and developed an advanced management tool for application configuration

    Linux, Mac OS, Astah (UML), Eclipse (EMF) C, C++, Java, Python, Shell, Corba, Boost, Cmake, Swig, Postgresql, MySQL, Jenkins , Git, Svn, Tomcat, web services Batch Scheduler: PBS, OAR, and SLURM
  • Assistant lecturer

    University of Lyon 1  Lyon, France
    2010 - aujourd'hui

    Vector analysis.
     Scientific Computing tools.
     Numerical methods.
     Software Engineering

  • Research fellow

    University of Paris Nord  Lyon, France
    2005 - 2008

    Research fellow
     Mathematics lectures.
     Algebra and Analysis

  • BIG DATA AND MACHINE LEARNING TECHNICAL LEADER KEY ACCOMPLISHMENTS

    DEVOTEAM  Lyon, France 
    aujourd'hui

    Design and development of a real time data gathering application.
     Development of real time supervision application.
     Architecture, design, and development of machine learning platform based on forecasting methods.

    Data Science, Big Data, Linux, Windows, Scrum, Scikit learn, Kafka, Hadoop, Elastic Search, Grafana, Tomcat, Jenkins, Ansible, Maven, Git , Spring Boot, Java, Python, Shell.
  • SCIENTIFIC COMPUTING PROJECT MANAGER KEY ACCOMPLISHMENTS

    IPC – Innovation Plasturgie et Composite  Oyonnax, France
    aujourd'hui

    Design of library for the development of pre-design tools and assistance to the simulation of forming processes for plastic and composite parts.
     Management of a collaborative project (with 3 other partners) to develop a collaborative costing tool for the plastic industry.
     Design and development of a product-process modeling platform for the plastic industry.
     Design and development of an expert system for smart product design in plastic industry
     Architecture, design, and development of a predictive tool to estimate the cooling time of a plastic part
     Architecture, design, and development of a predictive tool to estimate flow and pressure drop in a hydraulic network

    Scientific Computing, Numerical Analysis, Linux, Windows, Eclipse (RCP, SWT/Jface, EMF, GMF, CDO, Acceleo), Sirius, Java, C++, Python, Shell, Cmake, Maven, Git, CVS
Études et formations
  • PhD Applied Mathematic

    Institute Galilee (University Paris Nord)| Paris, France
    2009
  • MSc Numerical analysis

    University Pierre and Marie Curie | Paris, France
    2005
  • MSc Applied Mathematics and Scientific Computing Institute Galilee

    University Paris Nord)| Paris, France
    2005
  • BSc Mathematics and Computer Science

    Institute Galilee (University Paris Nord)| Paris, France
    2005
Autres compétences
Areas of Expertise include:

Object-Oriented Design
Functional Programming
Microservices Development
Web Services Development
Graphical User Interface Development
Big Data
Cloud Computing
Distributed Systems
Stream Processing
High Performance Computing
Data Science/Machine

Learning
Numerical Simulation
Partial Differential Equations
Domains Decomposition

Methods
Finite Elements Methods

TECHNICAL SKILLS
OS: Dos, Windows, Linux, Solaris, Macintosh
Languages: C, Fortran, Caml, C++, Java, Python
Libraries: Qt, STL, Boost, Spring Boot, Scikit Learn
Databases: Postgresql, Mysql, Elastic Search, Mongo Db
Math Tools: M.P.I, Open MP, Matlab, Maple
Miscellaneous: LATEX, Ansible, Git, Jenkins, Corba


Thesis: Domain decomposition methods for heterogeneous structures
Doctoral advisors: Laurence Halpern and Jean Jacques Marigo
Key words: Heterogeneous media, asymptotic methods, Schwarz algorithm,
Optimized interface conditions

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