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Fayçal B.FB

Fayçal B.

Data Scientist 📊 Python 🐍 AWS ☁️ NLP 📕 Audio 🔊

€700/day
1 project
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Fayçal

👨‍🎓 Engineering degree from Institut Mines-Télécom in applied mathematics and computer science

As an experienced Fullstack Data Scientist, I develop, train, and deploy artificial intelligence models in cloud environments to solve complex problems and fully leverage business data. I have worked with startups and multinational corporations, covering all stages of the process.

I thus have complete expertise in artificial intelligence:
⛏️ data collection
🔍 analysis and visualization
🤖 machine learning & deep learning model training
🏗️ production deployment
all within a cloud environment, in a CI/CD context.

I can help you to:
📈 better understand your customers (customer segmentation, churn prediction)
📕 use NLP techniques to exploit vast corpora of textual data (such as customer feedback), particularly using LLMs like BERT, GPT, LLaMa, Mistral, etc.
🤖 implement an LLM-based application
📢 develop voice processing algorithms: speech recognition, speech synthesis (text-to-speech), etc.


🤝 Of course, I work closely with business teams and always keep in mind the business objective of a project.

✉️ Contact me to discuss how we can collaborate and fully leverage the power of your data!
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Conversational

  • Arabic

    Conversational

  • Russian

    Basic

  • Japanese

    Basic

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

Experience

  • Ekwateur
    Data Scientist / Machine Learning Engineer
    ENERGY AND UTILITIES
    November 2023 - March 2025 (1 year and 3 months)
    Paris, France
    Ekwateur is an alternative energy provider.

    I was the internal point of contact for all AI-related topics. My role was to implement AI-based internal tools for various business teams (sourcing, marketing, customer service). I was fully responsible for my projects, from scoping and gathering requirements from business teams to prototyping, modeling, and production deployment. I initiated or took over the following projects:

    • **Customer electricity consumption prediction**: implementation of a tool for the sourcing team to predict customer electricity consumption hour by hour over several years (XGBoost Python, MlOps, SageMaker Pipeline, AWS Lambda, Gitlab CI).
    • **Sentiment analysis in customer tickets**: implementation of a dashboard for the customer service team to track customer satisfaction trends in received messages across different topics (Python, NLP, MlOps, SageMaker Pipeline, Gitlab CI).
    • **Churn prediction**: implementation of a 3-month churn prediction model for the marketing team (Python, MlOps, SageMaker Pipeline, Gitlab CI).
    • **Forecasting hourly call volume at customer service centers**: implementation of a model allowing customer service to anticipate hourly call volume several weeks in advance (Python, XGBoost, time series, SageMaker).
    Technical environment: Python (NumPy, Pandas, Matplotlib, Seaborn, XGBoost, scikit-learn, boto3, Sagemaker), AWS (SageMaker, S3, RedShift, Lambda), Git, Gitlab CI, PyCharm, Jupyter Notebook, MacOs.
    Python XGBoost Amazon Web Services AWS SageMaker AWS S3 Data science Machine learning MLOps Gitlab CI/CD CI/CD
  • Enginn Technologies
    Data Scientist
    SOFTWARE PUBLISHING
    December 2020 - July 2023 (2 years and 7 months)
    94200 Ivry-sur-Seine, France
    Enginn is a speech synthesis tool for creative professionals (video game studios, animation studios, etc.).
    My main responsibilities were:
    👨‍💻 Building training datasets for our speech synthesis model (textual and audio data): raw data extraction, analysis, cleaning, transformation, sampling.
    👨‍💻 Participation in setting up ETL/ELT.
    👨‍💻 Writing preprocessing/postprocessing scripts for our speech synthesis model.
    👨‍💻 Developing voice analysis models.
    Pandas Numpy Scikit-learn Data science Data visualisation Deep Learning Machine learning AWS Amazon Web Services (AWS) AWS S3 AWS EC2 AWS Lambda Docker GitHub Github Actions Git SQL PostgreSQL Matplotlib Seaborn Linux Ubuntu Sagemaker Jupyter Notebook Python Pycharm Audio
  • Ecole-IT
    Python Trainer
    EDUCATION AND E-LEARNING
    October 2023 - December 2023 (2 months)
    Orléans, France

    Context

    Python programming course for post-baccalaureate students

    My achievements

    • Preparation of course materials
    • Lectures followed by corrected exercise sessions
    • Preparation and grading of the final course assessment (coding a hangman game)

    Topics covered

    Algorithmics, programming paradigms, imperative programming, variables, control flow, loops, conditions, collections, containers, functions, modules and libraries, exception handling, file reading and writing, object-oriented programming.

Reviews

5.0

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Recommendations

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Ken MorangeKM
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Education

  • Scientific preparatory classes (French : "Classes préparatoires scientifiques"), Mathematics, Physics, Chemistry
    Lycée La Martinière Monplaisir
    2016
    Scientific preparatory classes (French : "Classes préparatoires scientifiques"), Mathematics, Physics, Chemistry
  • Master of Science in Computer Science
    Korea Advanced Institute of Science and Technology
    2018
    Master's degree, Computer Science

Certifications

Skill set (53)

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