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Guillaume VanderstichelGV

Guillaume Vanderstichel

Business analyst, Data scientist

€500/day
Brussels, BE
3-7 years

Average response time: 1 hour

About 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
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Brussels (up to 50km)

Experience

  • BNP Paribas Fortis BE
    Business Analyst
    BANKING AND INSURANCE
    February 2022 - Today (4 years and 4 months)
    Brussels, Belgium
    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
    HEALTH AND WELLNESS
    July 2020 - December 2021 (1 year and 6 months)
    Brussels, Belgium
    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
    TECH
    October 2019 - April 2020 (7 months)
    Brussels, Belgium
    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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