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Lahbichiinsafe/README.md

Hi, I'm Insafe 👋

🎓 L3 Mathematics & Computer Science (Université de Toulouse)
🤖 Focus: Machine Learning, NLP, Data Science
💼 Looking for a Machine Learning / Data Science apprenticeship (alternance)

🔬 Currently working on intelligent autocomplete systems (IRIT - SMAC team)


🚀 Highlight Project

Intelligent Autocomplete System (IRIT)

  • Development of an autocomplete system using n-gram models
  • Implementation of online learning (incremental updates)
  • Evaluation using Top-1 and Top-3 accuracy metrics
  • Comparison with LLM baseline (GPT-2)

🧠 Experience

  • Built and evaluated ML models (GRU, LSTM) for trajectory prediction
  • Worked with temporal data and sequence modeling
  • Designed evaluation protocols (RMSE, confidence intervals)
  • Applied signal processing techniques (smoothing, normalization)

💡 Interests

  • Machine Learning
  • Natural Language Processing
  • Large Language Models
  • Data Science

🛠 Tech Stack

Python • PyTorch • scikit-learn • Transformers • NumPy • pandas


📫 Contact

Pinned Loading

  1. fraud-detection-banking fraud-detection-banking Public

    Détection de fraude bancaire avec PostgreSQL, Python (XGBoost), Power BI, Pipeline data complet

    Jupyter Notebook

  2. Projet_MMPose Projet_MMPose Public

    Human pose trajectory prediction using MMPose and deep learning models (LSTM, GRU)

    Jupyter Notebook 1

  3. Football-Prediction Football-Prediction Public

    Football match outcome prediction using feature engineering, clustering and machine learning

    Jupyter Notebook

  4. Gibbs-Phenomenon-Fourier Gibbs-Phenomenon-Fourier Public

    Theoretical and numerical study of the Gibbs phenomenon using Fourier series

    TeX

  5. genealogical-trees genealogical-trees Public

    Implementation of genealogical tree structures and visualization in C

    C

  6. AutoComplete AutoComplete Public

    Intelligent autocomplete system using n-grams and language models

    Jupyter Notebook