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Anselme KaboreAK

Anselme Kabore

Data Scientist | Digital Solutions Developer

€450/day
Paris 19 Buttes-Chaumont, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Anselme

Are you wasting time cleaning data, updating Excel files, or manually producing reports? Do you want to leverage your data to automate a process, build a dashboard, or develop a predictive solution?

I can assist you from needs analysis to the delivery of a reliable and immediately usable solution.

My services:

• Data cleaning, structuring, and analysis
• Automation of processes and reporting
• Development of pipelines with Python, SQL, and BigQuery
• Creation of dashboards and performance indicators
• Statistical modeling and Machine Learning
• Development of web applications and business tools
• Documentation and user support

At Renault Group, I work as a Data Analyst and Digital Solutions Developer. Notably, I designed an industrial performance management application, developed data pipelines, and reduced a process that previously took 2 to 3 hours to about one minute.

I am also a Research Intern in Artificial Intelligence at the École de technologie supérieure in Montreal. My work focuses on evaluating large language models, protecting personal data, and designing benchmarks.

Technologies: Python, SQL, BigQuery, Looker, Excel, Git/GitLab, Django, PHP, Scala, and Apache Spark.

My goal: to deliver a clear, robust solution tailored to your business. Let's discuss your needs to quickly identify the best approach.
  • French

    Native or bilingual

  • English

    Conversational

Remote only
Primarily works remotely

Experience

  • École de technologie supérieure (ÉTS)
    AI Research Intern
    TECH
    June 2026 - Today (2 months)
    Montréal, Canada
    Research work focused on evaluating the ability of artificial intelligence assistants to protect personal information in situations of interdependent and strict confidentiality.

    • Design of synthetic datasets and test cases including prompts and expected responses.

    • Evaluation of large language models, including Gemini and Mistral, on their understanding of context, identification of privacy standards, and relevance of produced responses.

    • Application of the Contextual Integrity framework to situations where the personal information of multiple individuals is linked.

    • Study of privacy-preserving technologies: secure multi-party computation, local differential privacy, and secret sharing.

    • Prototyping the integration of data protection tools into a toolkit for AI assistants and analysis of their computational cost.
    Artificial intelligence Machine learning Python Data analysis Data science
  • Renault Group
    Data Analyst & Digital Solutions Developer
    AUTOMOBILE
    September 2024 - Today (1 year and 11 months)
    Aubergenville, France
    Design and deployment of data solutions to automate processes and improve industrial performance management.

    • Design and deployment of a performance tracking application replacing several historical processes performed in Excel.

    • Development of end-to-end data pipelines with Python, SQL, and BigQuery.

    • Reduction of processing and reporting time from 2-3 hours to approximately one minute.

    • Creation of interactive dashboards and performance indicators with Looker.

    • Implementation of version control, continuous integration, and deployment with GitLab.

    Technical environment: Python, SQL, BigQuery, Looker, and GitLab.
    Python SQL Data analysis Data visualisation Data science

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Education

  • Master of Engineering
    CY Tech
    2027
    Master of Engineering
  • Bachelor's Degree
    CY Cergy Paris Université
    2025
    Bachelor's Degree

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