Ibrahima - Data Scientist DATA C++ BIG DATA DEVOPS

Ref : 220317C001

Email vérifié

Domicile

38510 MORESTEL
Profil

Data Scientist, Chef de projet (43 ans)
Statut

Freelance
Tarif Journalier Moyen
Voir le tarif

Photo d'Ibrahima, Data Scientist DATA C++ BIG DATA DEVOPS

Compétences

JAVA

DATA

LINUX

C++

BIG DATA

DEVOPS

ELASTICSEARCH

GRAFANA

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