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Imad-Eddine M.IM

Imad-Eddine M.

Data scientist: GenAI, NLP, Marketing Analytics.

€400/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Imad-Eddine

Hello everyone!
I am Imad, Data Science Manager, but also a fullstack engineer and most importantly, a problem solver.
I am interested and capable of carrying out various types of projects:

- Marketing Analytics (MMMs, Geo Experiments, Causal Impact, Customer Segmentation/Bidding)
- MLOps & Pipelines, I can deploy various maintenance and automation systems to train models and perform inference (Streaming & Batch)
- GenAI: LLMOps, Fine Tuning, development & Deployment of RAG systems & Agents
- Setting up Dashboards and LLM applications

Technical Stack:


Languages: Python, SQL, R, JavaScript, Java, Rust.

Dashboards: Streamlit, Gradio.

Machine Learning: TensorFlow, PyTorch, Hugging Face, Scikit-learn.

Data Engineering & Analytics: SQL, NoSQL, BigQuery, Neo4j, PySpark, Apache Beam, Mage.AI.

Cloud & MLOps: GCP, Vertex AI, Docker, Ray, kubeFlow, TFX, MLflow.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

Remote only
Primarily works remotely

Experience

  • Jellyfish
    Manager Data Science
    DIGITAL AND IT
    September 2023 - Today (2 years and 9 months)
    Paris, France
    My tasks as Data Science Manager involve a mix of designing and implementing AI/Data solutions as well as establishing good ML practices.
    Some projects I have worked on:

    Design and development of a data drift reduction system leveraging context-enriched LLMs and clustering techniques, leading to a 30% improvement in recall and a 5% increase in conversion rates for black-box ML models.
    Design of a creative asset evaluation system using VLLMs and statistical analyses for confidence and ratings.
    Implementation of an end-to-end pipeline for CI/CT/CD of models using VertexAI & Kubeflow.
    Design of an LLM-based topic modeling for share of voice.
    Responding to ad-hoc requests related to customer segmentation modeling using analytics data.
    GeoLift RAG Vertex AI LLM LLMOps MLOps Customer Segmentation Kubernetes Kubeflow Big Query BigQueryML
  • Jellyfish
    Junior Data Scientist
    DIGITAL AND IT
    September 2022 - September 2023 (1 year)
    Paris, France
    During my year as a junior, I had the opportunity to:

    Participate in NLP research projects and implement some of them.
    Implement customer segmentation models and a Value Based Bidding system using GA4 data.
    Conduct A/B tests and causal inference analyses evaluating campaign effectiveness on various KPIs.
    Develop data processing pipelines for different ingestion systems.
    Lead an exceptional team during the Jellyfish x Google Hackathon.
    BigQuery User segmentation Impact Measurement Media Mix Modeling TensorFlow R Python
  • Netatmo
    Customer Data Analyst
    TECH
    October 2021 - August 2022 (10 months)
    92100 Boulogne-Billancourt, France
    • Analysis of customer request and feedback flow
    • Creation of dashboards and presentation of performance analyses
    • Development of chatbots and analysis of requests processed by them.
    Environment: Zendesk, Python
    Python Zendesk d3.js

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Education

  • Bachelor of Science in Computer Science
    Université Denis Diderot (Paris VII)
    2021
    Année où j’ai approfondi mes compétences particulièrement en Algorithmique et Programmation competitive, Probabilités, Logique et Conception.
  • Bachelor of Science in Computer Science
    Université des Sciences et de la Technologie 'Houari Boumediène'
    2020
    Bachelor, Computer Science

Certifications

Skill set

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