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Guillaume VanderstichelGV

Guillaume Vanderstichel

Business analyst, Data scientist

500 €/jour
Brussels, BE
3-7 ans

Délai de réponse moyen : 1h

À propos de Guillaume

Dedicated and detail-oriented
ingeneer with a solid grounding in
mathematics and computer science,
as well as in project management.
Seeking a challenging mission and
team where my data sciences
expertise and enthusiasm skills can
contribute to the success of projet
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Brussels (jusqu’à 50 km)

Expériences

  • BNP Paribas Fortis BE
    Business Analyst
    BANQUE & ASSURANCES
    février 2022 - Aujourd'hui (4 ans et 4 mois)
    Brussels, Belgique
    Understanding the bank's data model, and developed and
    maintained data warehouse.
    Collaborated with stakeholders to define project objectives, criteria
    and requirements. DERIK project : analyzed, extracted and sent data
    from Fortis to BNP Paribas.
    Designed and developed data pipelines to acquire, clean and process
    data.
    Integrating BPOST data into the data warehouse : BALLPEN.
    Created custom reports to provide insights to end users.
    Enhanced skills as a project manager.
    Microsoft Excel Scrum Méthode agile Gestion de projet Project Management (PMO) Python Linux Bash Putty WinSCP Citrix Oracle SQL Sybase
  • Smals
    Developer IT
    SANTÉ & BIEN-ÊTRE
    juillet 2020 - décembre 2021 (1 an et 6 mois)
    Brussels, Belgique
    Maintained the iDeploy Java application and ensured smooth operation
    of ETL tools.
    Led specific projects, including the creation of proxies and development
    of data filtering scripts in Java and Python.
    Managed the full development lifecycle: from requirement gathering to
    production, including testing and documentation.
    Python Java Linux Bash Putty WinSCP Jenkins Proxy
  • Vadis Technologies
    Data Scientist
    HIGH TECH
    octobre 2019 - avril 2020 (7 mois)
    Brussels, Belgique
    Evaluated the Neo4j graph processing tool for its potential to replace the
    current Vadis system: TigerGraph.
    Processed large datasets from the European Commission to assess
    performance.
    Developed and optimized graph algorithms for fraud detection.
    Provided reports on Neo4j's scalability and efficiency.
    Neo4j Cypher Linux Bash Python Jupyter Putty WinSCP

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