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Achievement: Pair Extraordinaire

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01End/README.md


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What I build

coding gif

  • 🐎 Recovery-time prediction pipeline for endurance horse racing — stacked LightGBM + GBT, MAE within ±1.8–3.8 min
  • 🤖 Multi-agent RAG — LangGraph + ChromaDB + Ollama, fully local
  • 🔥 Fire & smoke detection — computer vision with RetinaNet (ResNet-50 + FPN)
  • 🛒 CLV prediction on 541K real transactions, built end-to-end
  • ❤️ Heart disease classifier — XGBoost + DNN, AUC ~0.80, SHAP, deployed on Streamlit

Tech arsenal

Tech stack

Stats

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Streak



Contribution snake

Contribution snake

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  1. Muster Muster Public

    A web-based platform designed to centralize and visualize academic data (attendance, grades, assignments) with dashboards for professors, students, and parents. with AI-driven insights including pr…

    Blade

  2. Heart-Disease-Risk-Prediction-Patient-Clustering- Heart-Disease-Risk-Prediction-Patient-Clustering- Public

    Heart disease risk prediction & patient clustering using 70,000 records. Full ML pipeline: data preprocessing, EDA, KMeans/DBSCAN clustering, XGBoost & Random Forest classifiers, DNN + Autoencoder …

    Jupyter Notebook 1

  3. Customer-Value-Prediction-Segmentation Customer-Value-Prediction-Segmentation Public

    This project analyzes the Online Retail dataset to uncover customer behavior and sales patterns. It includes CLV and RFM analysis, product and country performance, time-series trends, cohort retent…

    Jupyter Notebook

  4. Rag-egyptian-schools Rag-egyptian-schools Public

    Multi-agent RAG system for querying Egyptian private universities using LangGraph, Chroma, and Streamlit

    Python

  5. Music-Popularity-Prediction-Audio-Pattern-Discovery Music-Popularity-Prediction-Audio-Pattern-Discovery Public

    Music popularity prediction and audio pattern discovery using 114,000 Spotify tracks. Full ML pipeline: data preprocessing, EDA, KMeans/DBSCAN/hierarchical clustering, Random Forest and XGBoost reg…

    Jupyter Notebook