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aymen-msalmi/README.md

👋 Hi, I’m Aymen MSALMI

Welcome to my GitHub profile! I am a Data Science student passionate about solving real-world problems through machine learning, deep learning, and natural language processing (NLP). I love working on innovative solutions that combine data-driven insights with cutting-edge AI techniques.

🌟 About Me

  • 🎓 Currently pursuing an Engineering degree in Computer Science with a specialization in Data Science at Esprit.
  • 🌱 Exploring advanced techniques in deep learning and NLP to tackle complex challenges.
  • 🔭 Actively working on AI-driven projects that make an impact in various domains.

🔧 Skills & Tools

  • Programming Languages: Python, Java, C, SQL
  • Frameworks & Libraries: TensorFlow, Scikit-learn, Pandas, Matplotlib
  • Machine Learning Techniques: Neural Networks, K-Nearest Neighbors, Decision Trees, Random Forest
  • Specializations: Natural Language Processing (NLP), Computer Vision, Deep Learning

📂 Featured Projects

🛠️ Recommendation System for Risk Management

  • Designed an AI-based system to align with PMI standards.
  • Leveraged NLP to improve user decision-making by analyzing textual data.

🦌 Wildlife Detection Using UAV Imagery

  • Built a detection framework using Mask R-CNN with weakly supervised learning.
  • Enhanced performance through image augmentation techniques.

📚 Educational Platform for Dyslexic Learners (Dyspru)

  • Created a digital platform integrating voice recognition to aid literacy.
  • Personalized learning experiences to boost outcomes for dyslexic students.

🔒 Intrusion Detection System

  • Implemented an intrusion detection system using the KDD Cup 99 dataset.
  • Improved detection rates with machine learning algorithms, reducing false positives.
  • Strengthened network security by accurately classifying and detecting threats.

🌬️ Prediction of the Production of a Wind Farm

  • Built a machine learning model to predict the monthly electricity production (in kWh) of a wind farm with 50 turbines.
  • Applied data preprocessing, feature engineering, and hyperparameter optimization.
  • Used real-world turbine data to predict power output based on wind speed and direction.

📜 Certifications

  • NLP Specialization (DeepLearning.AI)
  • Python for Data Science (Dyma.fr)
  • Algorithms and Data Structures (Dyma.fr)
  • More certifications here

📫 Let’s Connect!

⭐ Feel free to explore my repositories and connect for collaborations!

Pinned Loading

  1. intrusion-detection intrusion-detection Public

    The Network Intrusion Detection System (IDS) project aims to develop an efficient, scalable solution for detecting and mitigating security threats in network traffic. By applying machine learning t…

    Jupyter Notebook

  2. certifications certifications Public

    A collection of my certifications and achievements in data science, machine learning, and related fields. Includes documentation, projects, and coursework from certification programs, showcasing my…

  3. Prediction-of-the-production-of-a-wind-farm Prediction-of-the-production-of-a-wind-farm Public

    This project focuses on predicting the monthly electricity production (in kWh) of a wind farm consisting of 50 wind turbines. The goal is to implement a machine learning model that can predict the …

    Jupyter Notebook

  4. risk-management risk-management Public

  5. wildlife-detection wildlife-detection Public

  6. dyspru dyspru Public