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Djondang AoudouDA

Djondang Aoudou

Data & AI Engineer

€450/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Djondang

Data & AI Engineer | Python · SQL · LLM · RAG · Azure/AWS

I transform your raw data into concrete growth levers: reliable ETL pipelines, scalable Cloud architectures, and AI agents deployed in production.

What I do specifically:
∙ Design data pipelines (ETL/ELT) and Cloud architecture (Azure, AWS)
∙ Deploy AI agents and RAG systems with Microsoft Foundry, LangChain, GPT-4, Claude, Llama
∙ Machine Learning & NLP: classification, regression, multilingual sentiment analysis
∙ Dashboards & BI: Power BI, Tableau, Streamlit
Main stack: Python, SQL, Spark, Scikit-learn, Hugging Face, Docker, Git

Available for freelance missions remotely or in person anywhere in France.
  • English

    Native or bilingual

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • ADOC Solutions
    AI Engineer & Generative Solutions
    December 2025 - February 2026 (2 months)
    - AI Agent Design: Development of autonomous agents capable of performing complex tasks (research, analysis, writing) using frameworks like LangChain or CrewAI.
    - Implementation of RAG (Retrieval-Augmented Generation) architectures: Creation of systems allowing LLMs (GPT-4, Claude, Llama) to respond precisely based on the company's internal documents.
    - Prompt Engineering & Fine-tuning: Optimization of instructions and adjustment of models to ensure reliable, secure, and hallucination-free responses.
    Langchain RAG LLM Prompt engineering Python
  • OPTIMEX Pumps
    Data Analyst
    March 2024 - November 2025 (1 year and 8 months)
    Fleurieux-sur-l'Arbresle, France
    - Gathering business needs: Listening to sales teams to understand their challenges (sales tracking, trends, performance) and translating them into useful dashboards.
    - Dashboard creation: Design and realization of Power BI dashboards so teams can clearly see their figures, trends, and make better daily decisions.
    - Data organization: Structuring and cleaning data to make it reliable and usable (quality verification, duplicate removal, information consistency).
    - Process implementation: Automating regular updates of reports and dashboards to ensure everything works without manual intervention.
    Python SQL Server ETL AI Agent Scikit-learn
  • SOTEL
    Data Analyst
    April 2022 - July 2022 (3 months)
    N'Djamena, Chad
    - Customer data analysis: Extraction and analysis of over 500,000 records to identify trends (growth areas, most requested offers, customer profiles).
    - Visual reporting: Creation of Power BI charts and reports to clearly present results to teams.
    - Recommendations: Translating analyses into concrete actions to improve customer experience and sales strategy.
    SQL Microsoft Power BI Business intelligence Data analysis Reporting

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Education

  • Master Big Data &
    ESTIAM
    2025
    Master Big Data &
  • Bachelor Applied Computer Science Analyst
    ESTIAM
    2023
    Bachelor Analyste Informatique Appliquée

Skill set

Categories