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Malt Strategy
Nasreddine ChenikiNC

Nasreddine Cheniki

Data scientist, Graph Data specialist

€800/day
Paris, FR
8-15 years
Natural Language Processing (NLP)
LLMs
Graph Databases
Knowledge graph
RAG

Average response time: 1 hour

About Nasreddine

  • Arabic

    Native or bilingual

  • French

    Fluent

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Infeurope S.A.
    Semantic Web Consultant | Data Scientist
    January 2022 - Today (4 years and 5 months)
    Luxembourg
    Designed and implemented a document metadata recommendation system for CELLAR, the European Commission's publication management system. Key responsibilities:
    • Prepared the technical specifications for the project
    • Installed and maintained SeTA (Semantic Text Analysis Tool), a powerful large language model tool for text analysis, utilized for assessing document similarity.
    • Designed and executed analytical experiments to evaluate SeTA's potential for metadata recommendation using its text analysis capabilities.
    • Developed and implemented a metadata recommendation system
    • Created a classification and clustering approach for documents Key achievements:
    • Implemented a metadata recommendation system for cataloging, which received overwhelmingly positive feedback, leading to increased budget allocation for the project.
    • Published a scientific paper in an international conference
  • Université François Rabelais de Tours
    Research And Teaching Assistant
    September 2017 - June 2021 (3 years and 9 months)
    Tours, France
    Research and projects:
    I contributed to the SmartLoire project that aims to provide visitors of "Vale de-Loire" region with personalized itineraries according to their preferences. The first objective is to integrate tourism data from multiple sources using ontologies. The second objective is to analyze visitors' itineraries to identify their behaviors and to extract knowledge from the trajectory mining.


    Key responsibilities:
    • Design a graph model (using ontologies) to merge heterogeneous tourism data.
    • Define scalable data integration architecture.
    • Mapping the integrated data with the Linked Open Data graph.
    • Design and implement semantic search/recommendation algorithms for tourism trip planning based on the resulted graph database.
    • Train, supervise, and monitor bachelor and Ph.D. students contributing to the project.
    Key achievements:
    • Publishing many research papers related to the project. All papers were published and presented in English.
    • Developing an open-source Java Library called LDS that provides calculation of LOD-based semantic similarity. It is used in the project to propose recommendations for tourism services and itinerary recommendations.
    Teaching Assistant:

    All my teachings have been done at the University of Tours. I was involved in many courses, among others:
    • Databases & Web programming
    • Algorithms and object programming - Java/Python
    • (Advanced) Databases
    • Developing Mobile application using Android
    • Operation systems

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Education

  • Doctor of Philosophy (Ph.D.), Computer Science
    Université des Sciences et de la Technologie 'Houari Boumediène'
    2016
    Doctor of Philosophy (Ph.D.), Computer Science
  • Master of Computer Science
    Université 20 août 1955 - Skikda
    2011
    Master, Computer Systems

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