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Guillaume VanderstichelGV

Guillaume Vanderstichel

Business analyst, Data scientist

€ 500/dag
Brussels, BE
3-7 jaar

Gemiddelde responstijd: 1 uur

Over 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
  • Frans

    Tweetalig / moedertaal

  • Engels

    Vloeiend

Kan op locatie werken
Brussels (tot 50km)

Werkervaring

  • BNP Paribas Fortis BE
    Business Analyst
    BANKEN & VERZEKERINGEN
    februari 2022 - Vandaag (4 jaren en 4 maanden)
    Brussels, België
    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
    GEZONDHEID & WELLNESS
    juli 2020 - december 2021 (1 jaar en 6 maanden)
    Brussels, België
    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
    HIGHTECH
    oktober 2019 - april 2020 (7 maanden)
    Brussels, België
    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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