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Amine L.AL

Amine L.

Data Scientist & AI Engineer

€350/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Amine

Freelance Data Science & AI | Machine Learning | RAG & AI Agents | Python

Data Scientist specialized in Machine Learning, Generative AI, and Augmented Research (RAG) systems, I assist you in designing and optimizing your intelligent models. With expertise in Python, NLP, Scikit-Learn, Scala, Hadoop, and PySpark, I have worked on projects combining predictive modeling, data analysis, and intelligent automation.

🔹 Key Skills: Machine Learning (Supervised & Unsupervised Learning), NLP, RAG & AI Agents (LLMs), SQL/NoSQL Databases, Big Data Analytics.
🔹 Projects Completed: AI-based Air Quality Prediction, AI NoCode Workflow Automation, Recommendation Algorithms, and Optimization.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

  • Spanish

    Basic

Can work on-site
Paris (up to 50km), Lyon (up to 10km), Nantes (up to 10km), Marseille (up to 10km)

Experience

  • ENGIE - Entreprises & Collectivités
    Data Scientist - Energy Storage (BESS)
    ENERGY AND UTILITIES
    April 2025 - Today (1 year and 4 months)
    Paris, France
    • Designed and implemented a multi-model intelligent mapping framework for BESS telemetry tags, combining RAG pipelines (LLMs), NLP (NER, similarity), statistical profiling, and DeepLearning approaches to generate high-confidence mappings by cross-validating model outputs.
    • Developed a statistical sensor profiling model to characterize each tag's behavioral signature using the TSFresh library on large-scale time series data, enabling probabilistic mapping and anomaly detection across heterogeneous telemetry streams.
    • Optimized the data ingestion architecture: replaced the AWS Firehose layer with a direct Kinesis → Databricksintegration, reducing daily costs from $300+ to $10–30 while ensuring full data capture across 10+ BESS sites.
    • Led performance evaluation research across all implemented models (RAGs, NLP, statistical profiling, DeepLearning), designing a unified framework with retrieval/generation metrics and agent-based validation.
    • Collaborated with GBU Renewables, Labor Elec, Databricks, and AWS teams to ensure alignment with operational use cases and define a scalable deployment strategy.
    deep-learning Databricks Machine learning Python Artificial Intelligence (AI)
  • G-ON
    Data Scientist & AI
    ENERGY AND UTILITIES
    May 2024 - October 2024 (5 months)
    Issy-les-Moulineaux, France
    • Supervised Learning for Indoor Air Quality Prediction – Developed a machine learning model using CatBoost, XGBoost, and Artificial Neural Networks (ANNs) to predict CO₂ and VOC levels from time-series micro-sensor data, optimizing hyperparameters and evaluating performance with R² > 0.90.
    • Alternative to FileMaker: Designed and implemented a more efficient database system tailored for non-technical users, offering a simplified interface and enhanced functionalities compared to FileMaker.
    • Data Analytics and Consolidation: Built and optimized statistical databases (BDNB) using public energy audit data, performing advanced correlation analysis between IoT sensor data and energy consumption patterns to drive actionable insights.
    • Process Automation with NoCode and AI: Automated key workflows (API), including report generation and data processing, leveraging NoCode platforms and AI, improving productivity by 30%.
    • Cross-Functional Collaboration: Collaborated with cross-departmental teams, including data scientists and energy auditors, to align AI implementations with organizational goals.
    Machine learning RAG Generative AI Automation Python

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Education

  • Master MIAGE in Decision-Making IT
    Dauphine - PSL University
    2025
    • Data Warehousing, IT Security, Machine Learning (Numpy, TensorFlow, Scikit-Learn, Pandas, Computer Vision, NLP, RAGs), Big Data (Spark, HDFS) • Data Optimization (DDG, Regularization, Stochastic Gradient), Decision Algorithms, Power BI, SAS
  • Bachelor ’ s Degree in Mathematics, Computer Science, and Finance
    Dauphine - PSL University
    2023
    Mathematics (Algebra, Probability, Statistics), Programming (Java, Python, C, Unix), Economics

Skill set

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