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Boussad Ait DjoudiBA

Boussad Ait Djoudi

Data processing, Application Developer

€125/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Boussad

I am a junior application developer specializing in data processing and the automation of repetitive tasks. I master Python and Java to create effective solutions tailored to my clients' needs. Serious and adaptable, I know how to adjust to all problems, whether simple or complex. My goal is to simplify my clients' daily lives by offering them reliable and efficient tools. I am committed to constant follow-up: you can contact me at any time, even for a specific question, and I will always be available to help you quickly. I focus on quality, responsiveness, and clarity in all my missions, to ensure a smooth and professional experience. If you are looking for a trusted partner to develop your applications and automate your processes, I am ready to take on your challenges and support you to success.
  • French

    Native or bilingual

  • English

    Conversational

  • Arabic

    Fluent

Remote only
Primarily works remotely

Experience

  • Restaurant Volfoni
    Data analyst
    RETAIL (LARGE RETAILERS)
    March 2025 - December 2025 (9 months)
    Villejuif, France
    I participated in optimizing decision-making processes from data to improve productivity and profitability.
  • A3s
    Data scientist
    ENERGY AND UTILITIES
    January 2026 - Today (5 months)
    I automate certain administrative tasks, particularly the creation of schedules, while providing analyses on sales and purchasing needs to optimize the company's operation and profitability.
  • Hopital
    Junior Data scientist
    MEDICAL
    January 2024 - June 2024 (5 months)
    During my internship at Azazga Public Hospital, I worked on the analysis and exploitation of medical data to improve decision-making and early detection of health anomalies.
    I developed an intelligent system in Python and TensorFlow to analyze patient data and identify at-risk situations. I also implemented an automatic alert system to signal medical emergencies.

    I used tools like Python (Pandas, NumPy, Scikit-learn), SQL/NoSQL, Flask, and Docker to automate data processing, facilitate data cleaning, and create analysis applications. This project allowed me to apply machine learning techniques in a real healthcare context and strengthen my skills in Data Science and AI.
    Pytorch Machine learning Computer Vision MongoDB Deep Learning

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Skill set

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