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shahabhassank/README.md

Hi, I'm Shahab Hassan πŸ‘‹

Data Scientist | AI/ML | Sports Analytics

BS Data Science from COMSATS University Islamabad. I am deeply passionate about the mathematical foundations of Machine Learning and Neural Networks, and I enjoy applying these concepts to solve complex problems in real-world systems.


What I'm working on

  • ⚽ StatScout: Developing a comprehensive football analytics platform to extract actionable insights from performance data.
  • πŸ›οΈ Generative AI for Finance & Law: Building specialized RAG applications for banking compliance and legal document retrieval.
  • πŸ‘οΈ Deep Learning & Computer Vision: Exploring advanced neural architectures and their applications in visual recognition and processing.

Technical Stack

Category Tools & Technologies
Languages Python SQL R C++
Data Science Pandas NumPy ScikitLearn
AI & Deep Learning PyTorch TensorFlow HuggingFace
Developer Tools Git Docker VSCode

πŸ“Š GitHub Stats

Shahab's GitHub stats Most Used Languages


πŸ“« Connect with me

Pinned Loading

  1. custom-Expected-Goals-xG--model custom-Expected-Goals-xG--model Public

    custom built expected goals (xG) model using historical events data from statsbomb.

    Jupyter Notebook

  2. match-analyzer match-analyzer Public

    Full-stack football match analysis platform. Search any team, scrape live event data from WhoScored, and generate a interactive shot maps, pass networks, zone entries, defensive actions & advanced …

    Python 2

  3. MediGuide MediGuide Public

    AI-powered conversational medical assistant with RAG over MedLinePlus & MedQuAD datasets, Neo4j knowledge graph, Qdrant vector database, LangGraph agent orchestration, and voice I/O (Whisper STT + …

    Python 1