Experience

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  Le best

  Jun 2012 - Aug 2012

  Stagiaire prestation de service

  My main duties were to:- inputting company documents;- greeting customers and listening to their needs;- ensure the maintenance of the surfaces;- to carry out the financial balance sheets of the company each month.Tools: SUITE OFFICE

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  Express union finance

  Jul 2014 - Jul 2014

  Prospecteur (marketing)

  My main activity was to introduce customers to new services offered by the bank in order to convince them to join. The company had previously trained us in marketing.Tools: Microsoft Office Power Point, Microsoft Office Word, Microsoft Office Excel

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  Université de yaoundé i (laboratoire d'informatique)

  Apr 2016 - Aug 2016

  Stagiaire - data scientist (r&d)

  Data mining method used: search for affinity to build relationships, biclustering.The aim of this course was to extract relevant knowledge from a set of data represented in matrix form (binary matrices) based on two partitioning criteria.This representation in matrix form can still be seen as an adjacency matrix representing a graph.To do so, I have studied and experimented with biclustering techniques to identify groups of highly correlated elements. I have therefore carried out a comparative study of biclustering algorithms based on certain quality criteria such as the precision of the biclusters obtained and the coherence of the biclusters.These techniques can help when building the recommendation model on a sales site, for example, because the information extracted tells us about customer habits.Some application cases:-Document analysis;-analysis carried out in genetics;-analysis of the housewife's basket;-social network analysis.Tools: R, Talend Show less

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  I.a.n.a

  Sept 2016 - Aug 2017

  Développeur web
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  L'isima clermont-ferrand

  Jun 2018 - Aug 2018

  Data mining method used: clustering.The objective of my master work was to extract relevant knowledge from a large database represented in the form of graphs (representing entities and the interactions between them). Several phenomena can be modeled by graphs.My work has three parts:- large real-world graphs being difficult to represent, I generate large synthetic real-world graphs that approximate those of the real world. These graphs will allow me to carry out my experiments;- study and experimentation of community detection algorithms in evolutionary graphs;- study and experimentation of algorithms for extracting sub-graphs frequent in dynamic graphs.Community detection and extraction of frequent sub-graphs are useful knowledge extraction techniques in large datasets;Other experiments performed:-Design of an algorithm to improve the quality of the generated graphs;-Extraction, standardization and structuring of data (implementation of a script for transforming raw data into vector form);-realization of an interface with the python tkinter package;-creation of documents on latex (Tex studio) and slides on beamer;-presentation of my work at several seminars.Some areas of application are:-the banking/finance sector-analysis of the market basket (supermarket)-analysis of the travel of a travel agency's clientsTools: R, Python, C++, latex, linux Show less

  • Stagiaire - data scientist (R&D)

    Apr 2018 - Aug 2018

  • Participation at day of large evolving graphs

    Jun 2018 - Jun 2018
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  L'isima clermont-ferrand

  Nov 2018 - Jul 2022

  Optimization methods used: dynamic programming and gluttonous heuristics.My goal is to design and implement new algorithms to solve the problem of synchronized management of energy production and activities (pickup and delivery) of autonomous or partially autonomous vehicle services.Missions carried out on production problems, synchronization problems, vehicle routing problems, assignment problems :- Design of mathematical models.- Design and implementation of algorithmic models (dynamic programming, constraint programming) .- Design and implementation of PL (relaxation of these models).- Use of optimization techniques.- Technology watch (Cplex, OPL, C++, Linux).- Documentation (Latex, Microsoft Excel).- Study and implementation of heuristics, meta-heuristics and exact methods.- Realization of graphs (Jupyter Notebook).-Realization of algorithm tests on an HPC platform (SLURM, sbatch)-Realization of algorithm debugging (valgrind) Show less

  • Chargée de travaux pratiques (TP) et de travaux dirigés (TD)

    Sept 2019 - Jul 2022

  • Ph. D. Candidate in Operations Research

    Nov 2018 - Jul 2022
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  Rmit university

  May 2019 - Jul 2019

  Researcher phd candidate visit

  Optimization method used: linear programming.Missions carried out :- Design and implementation of integer linear programs (PLNE) to solve transport problems, production problems, assignment problems and synchronization problems.- Design and implementation of algorithms to solve transport and production problems using dynamic and constraint programming(PPC).- Performing unit tests and integration tests of implemented modules.- Realization of the specifications of these projects.Tools : C++(CodeBlocks, Cplex) , OPL(Cplex), Latex Show less

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  4.71

  Oct 2022 - Sept 2024

  Data scientist - r&d
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  Université clermont auvergne

  Oct 2022 - Sept 2024

  Data scientist - r&d

  Laboratoire de Mathématiques Blaise Pascal