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Muhammed Attia

Master's student in Big Data & Data Science with a background in Mathematics. I build end-to-end machine learning pipelines across NLP, Computer Vision, and predictive modeling. Based in Sousse, Tunisia.


About Me

  • M.Sc. Big Data & Data Science — Horizon University, Sousse
  • B.Sc. Mathematics — Higher School of Science and Technology, Sousse
  • Strong mathematical foundation applied to deep learning and statistical modeling
  • Experience building and deploying ML systems from data preprocessing to production APIs
  • Competitive chess player — strategic thinking and pattern recognition transfer directly to ML

Technical Skills

Languages: Python, R, Java, SQL
Deep Learning: PyTorch, TensorFlow/Keras, CNNs, Transfer Learning, GRU/BiGRU
NLP: Sequence modeling, Machine Translation, HuggingFace Transformers
Computer Vision: YOLOv8, Object Detection, Image Segmentation, TensorRT, DeepStream
Databases: SQL, MongoDB, Redis, Cassandra
Tools: Git, FastAPI, Jupyter, VS Code, RStudio, RAPIDS


Projects

Project Description Tech
Sentiment Analysis: BiLSTM vs BERT Binary sentiment classification on IMDb reviews — BiLSTM from scratch vs fine-tuned BERT. F1 improved from 0.86 to 0.94 PyTorch, HuggingFace, Gradio
NLP Machine Translation French to English translation — LSTM Seq2Seq vs Transformer (MarianMT). BLEU score improved from 0.23 to 39.38 PyTorch, HuggingFace, Gradio
Smart Agriculture — Plant Disease Detection & Segmentation Fine-tuned YOLOv8 for plant disease detection and segmentation on PlantDoc dataset. mAP50: 0.513, Dice Score: 0.684. Deployed with FastAPI + Streamlit YOLOv8, FastAPI, Streamlit, PyTorch

Certifications

  • DeepLearning.AI & Stanford — Machine Learning Specialization (Supervised Learning, Deep Learning, Unsupervised Learning, Reinforcement Learning)
  • IBM — Data Science Professional Certificate (Python, SQL, ML, Data Visualization)
  • NVIDIA — Deep Learning, Real-Time Video AI, Accelerated Data Science, Transformer-Based NLP

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Always building. Always learning.

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