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Eat, Sleep, Code, Train, Repeat
:octocat:
Eat, Sleep, Code, Train, Repeat
6 followers · 7 following

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Achievement: Pull Shark

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Achievement: Pull Shark

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thehamzza/README.md

Hi 👋, I'm Hamza

A Fullstack Software Engineer.

thehamzza

thehamzza

under-construction projects:

  • 💻 mhamza.site

Connect with me:

muhammad-hamza-shakoor/ hamza-malik @the.hamza

Languages and Tools:

arduino aws azure bash bootstrap cplusplus css3 docker express flask gcp git hadoop html5 illustrator javascript kubernetes linux matlab mongodb mysql nodejs opencv pandas postgresql python pytorch react scikit_learn selenium tensorflow

thehamzza

 thehamzza

thehamzza

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  1. Facial_Recognition_Based_Attendance_System Facial_Recognition_Based_Attendance_System Public

    Facial Recognition Based Attendance System.

    Python 2

  2. Streamlit-Web-App-Motor-Vehicle-Collisions-in-New-York-City Streamlit-Web-App-Motor-Vehicle-Collisions-in-New-York-City Public

    Used Python and Streamlit to build this beautiful and interactive web app that shows useful information and analytics about vehicle collisions and accidents that occur in NYC. The dataset is provid…

    Python 2

  3. CV-Project-Objects-Edges-Detection-With-Projector CV-Project-Objects-Edges-Detection-With-Projector Public

    Project for software scripts for detecting + projecting shapes/skeletons via a camera and a projector connected to Raspberry Pi in real-time

    Python

  4. sales_dash_app sales_dash_app Public

    This is a data analytics dash app for super stores data, dataset contains superstores sales data.

    Python

  5. Sentiment-Analysis-of-Movie-Reviews-with-ML Sentiment-Analysis-of-Movie-Reviews-with-ML Public

    Developed a sentiment analysis system using scikit-learn and XGBoost to accurately classify movie reviews as positive or negative, addressing class imbalance with appropriate techniques to improve …

    Jupyter Notebook

  6. DocuMentor-RAG-Powered-Interactive-PDF-Assistant DocuMentor-RAG-Powered-Interactive-PDF-Assistant Public

    DocuMentor transforms PDFs into interactive resources using RAG, Python, Pinecone, and OpenAI. Ask questions, get precise answers—making document insights accessible and dynamic.

    Jupyter Notebook