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Nizar MalkiyaNM

Nizar Malkiya

Data Scientist, Software Engineer, Teacher

400 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Nizar

I'm a Data Scientist, Software Engineer, with 10 years of experience in the research, design, and implementations of Data Processing platforms.
I am passionate about the challenge of crafting quality software able to transform big amounts of data in useful, and understandable insights, and I enjoy all the different phases of this quest, from data collection, to data visualization, going through data modeling, system architecture, algorithms design, and software deployment.
  • Anglais

    Capacité professionnelle complète

  • Italien

    Bilingue ou natif

  • Arabe

    Bilingue ou natif

  • Espagnol

    Notions

  • Français

    Bilingue ou natif

  • Portugais

    Notions

  • Japonais

    Notions

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Capgemini
    Senior Data Scientist
    CONSEIL & AUDIT
    novembre 2024 - mars 2025 (4 mois)
    Development of a GenAI enterprise solution
    Development of a GenAI app to check document compliance with company guidelines:
    - Development of a Python app using agents and an RAG approach.
    - A/B testing to optimize prompts.

    Tools: Python, LangChain, LangGraph, GCP , RAG, AI Agents
    Sector: Consulting
    python intelligence artificielle Langchain RAG AI Agent
  • Pfizer PFE
    Data Scientist
    INDUSTRIE PHARMACEUTIQUE
    octobre 2021 - décembre 2022 (1 an et 3 mois)
    • Developed a time-series-based machine learning model for predictive maintenance of industrial equipment using Python and TensorFlow for a COVID-19 project from a global pharmaceutical company.
    • Built several web apps to analyze and visualize the available sensor data with Python and Streamlit.
    • Created preprocessing routines to collect, clean, and prepare the raw data using Python.
    Python TensorFlow Streamlit AWS Snowflake Machine learning Time Series Deep Learning Data visualisation SQL Data science Predictive Maintenance
  • leWagon
    Data Science Teacher
    EDUCATION & E-LEARNING
    novembre 2020 - Aujourd'hui (5 ans et 8 mois)
    • Presented lectures on statistics, Python, machine learning, and deep learning.
    • Supported students during their daily exercises throughout boot camp sessions.
    • Guided students during their two-week final projects, from inception to deployment of a machine learning model (NLP, Recommendation Systems, Time Series predictions, Generative models, Computer Vision...).
    • Participated in the training of more than 400 students, and mentored more than 50 final projects.
    python pandas scraping SQL Statistiques Machine learning Deep Learning NLP TensorFlow Docker Analyse de données Data visualisation Google cloud Time Series Streamlit

Recommandations

Julien BrayereJB
AU
Thierry GruberTG
Julien Brayere et 2 autres personnes recommandent Nizar

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Formations

  • Bachelor of Science in “Information and Communication Technologies"
    Università degli Studi di Perugia, Perugia, Italy
    2006
    - Final Mark: 108/110 - Principal subjects: Mathematics, Physics, Computer Science, Electronics, Communications, Signal Processing, Automatics, Networks, Databases, Robotics.
  • Master of Science in “Information and Communication Technologies”
    Politecnico di Torino, Turin, Italy
    2009
    - Final Mark: 110/110. - Principal subjects: Digital Communications, Coding, RF Electronics, Computer Science, Real Time Systems, Signal Processing, Networks, Security.

Compétences

Catégories