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Bamara SoroBS

Bamara Soro

Data Scientist

€300/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Bamara

Data Scientist MLOps & Generative AI | Python & Cloud (GCP) Expert

Status: Freelance (Immediately Available)

I am a Data Scientist and Statistical Engineer (ENSAI graduate), specializing in the design, modeling, and production deployment of Artificial Intelligence systems.

I am seeking freelance assignments on complex issues combining Machine Learning, Back-end development, and Cloud architecture.

Key Expertise and Achievements

1. Generative AI: RAG Architecture in Production (Current Assignment)

I specialize in intelligent systems leveraging textual data and document automation.

End-to-End RAG Architecture: I designed and deployed an AI assistant for technical analysis (e.g., BMS documentation), including complex PDF ingestion, vectorization (embeddings), indexing in a Vector DB, and LLM orchestration (Gemini/GPT) for structured synthesis.

MLOps Deployment: Implementation of the inference API with FastAPI, containerization (Docker), and deployment on Google Cloud Run to ensure scalability.

Key Tools: Expertise in LangChain, Hugging Face models, and embedding management.

2. Artificial Intelligence in Production (Classic ML)

My experience covers the entire Machine Learning value chain, ensuring robust and actionable solutions.

Production Deployment (MLOps): Mastery of continuous integration and deployment via API (FastAPI) and Cloud platforms (GCP).

Concrete Example: Design and deployment of a real-time marketing scoring engine at Epsilon France, based on supervised ML.

3. Technical Skills

Languages: Python (Expert), R, SQL.

ML/DL Libraries: Scikit-learn, PyTorch.

Cloud & Infra: GCP (BigQuery, Vertex AI, GCS), Docker, FastAPI.

See my projects and achievements on GitHub: github.com/bamarasoro
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • SBE Solution
    Data Scientist GenAI
    October 2025 - Today (8 months)
    Design and deployment of an AI assistant (RAG) for technical analysis. :
    • End-to-End RAG Architecture: Implementation of the complete pipeline: complex PDF ingestion, chunking strategy, vectorization (embeddings), and indexing in a Vector DB.
    • Web & API Development: Creation of the inference API with FastAPI (equivalent to Flask/Django) to expose the model to user interfaces.
    • DevOps & Cloud: Containerization of the application via Docker and deployment on Google Cloud Run to ensure scalability.
    • LLM & Prompt Engineering: Orchestration of models (Gemini/GPT) for synthesis and structured information extraction.
    Python RAG / Embeddings Docker GCP Git
    Python Google cloud Big Data
  • Epsilon France
    Data Scientist
    CONSULTING AND AUDITS
    April 2025 - Today (1 year and 2 months)
    Paris, France
    Title: Score on the fly – Dynamic marketing audience generation Description: Design and deployment of a marketing audience generation engine from user input and real-time scoring.
    Supervised Learning FastAPI Google Cloud Platform Vertex AI Azure DevOps LLM AI Agent
    ML Ops Python SQL Machine learning Google cloud
  • Laboratoire d'étude et de recherche en environnement et santé (LERES)
    Internship
    CHEMICAL
    June 2024 - August 2024 (2 months)
    Rennes, France
    Statistical analysis of chemical exposure data Description: Development of an analysis method: processing, reduction, and clustering of biological data.

    I successfully implemented an automated data management method for metabolomic data (study of very small molecules contained in blood samples).
    RStudio Clustering K-means Machine learning Big Data

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Education

  • Engineering degree in data science and statistical engineering
    National School of Statistics and Information Analysis (ENSAI)
    2025
    Diplôme d'ingénieur en data science et génie statistique
  • Bachelor's degree in MIASHS
    Paris 1 Panthéon-Sorbonne University
    2022
    Licence MIASHS

Skill set

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