Skip to content
View markwael's full-sized avatar

Block or report markwael

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
markwael/README.md

Header

Typing SVG

LinkedIn Email Portfolio Twitter


Views Followers


πŸ™‹β€β™‚οΈ About Me

I am an AI, Machine Learning, and Data Science Engineer dedicated to turning complex data into high-performance, intelligent products. I specialize in designing end-to-end computer vision and NLP models, optimizing deep neural networks, and creating interactive user interfaces to showcase data insights.

const profile = {
  title: "AI, Machine Learning & Data Science Engineer",
  focus: "Building state-of-the-art computer vision models, NLP pipelines, and interactive AI web applications",
  specialization: ["Deep Learning & CNNs", "Natural Language Processing (NLP)", "Exploratory Data Analysis & ETL"],
  motto: "Turning complex datasets into elegant, production-ready intelligent solutions."
};


πŸ› οΈ Tech Stack Ecosystem

πŸ€– AI, Machine Learning & Deep Learning
Technology Badge Category
Python Python Core Language
TensorFlow TensorFlow Deep Learning Framework
Keras Keras Deep Learning API
PyTorch PyTorch Deep Learning Framework
Scikit-Learn scikit-learn Machine Learning
OpenCV OpenCV Computer Vision
πŸ“Š Data Engineering & Analytics
Technology Badge Category
Pandas Pandas Data Wrangling
NumPy NumPy Numerical Computing
Microsoft Excel Excel Business Intelligence
Power Query Excel Data Transformation
🌐 Frontend & Presentation
Technology Badge Category
Streamlit Streamlit ML Web Apps
HTML5 HTML5 Structure
CSS3 CSS3 Styling
JavaScript JavaScript Interactivity
πŸ› οΈ Tools & Environments
Technology Badge Category
Jupyter Jupyter Notebook Environment
Git Git Version Control
GitHub GitHub Project Collaboration

πŸ† Featured Projects

blood-cell-classifier Card Β Β  fake-news-detector Card


Project Name Core Value / Description Tech Stack Link
πŸ’‰ Blood Cell Classifier Medical Image Classification web app using Deep CNNs to identify 4 types of blood cells with 98.5% accuracy. Python, TensorFlow, Streamlit Code & Demo
πŸ“° Fake News Detector End-to-end NLP pipeline using ensemble Machine Learning and Streamlit to detect misinformation in real time. Python, NLP, Scikit-Learn, Streamlit Code & Demo
πŸ–ΌοΈ Image Processing Tool Interactive desktop app for edge detection, adaptive segmentation, and morphological operations with live slider controls. Python, OpenCV, PyQt5 Code & Demo
🏑 Boston Housing Predictor Machine Learning regression model balancing Bias-Variance tradeoff to predict housing prices with GridSearchCV. Python, Scikit-Learn, Jupyter Code & Demo

πŸ“Š Advanced GitHub Analytics & Trophies

trophy


markwael GitHub Stats markwael Top Languages
markwael Streak Stats markwael Activity Graph

Pinned Loading

  1. finding-donors finding-donors Public

    Supervised Machine Learning - Classification model to identify potential charity donors using Census data - Python, Scikit-Learn

    Jupyter Notebook

  2. blood-cell-classifier blood-cell-classifier Public

    Medical Computer Vision - Deep CNN web application classifying 4 blood cell types with 98.5% accuracy - TensorFlow, Streamlit, Python

    Jupyter Notebook

  3. ford-gobike-eda ford-gobike-eda Public

    Exploratory Data Analysis - Multi-dimensional visual exploration of 183K+ Ford GoBike rides - Python, Pandas, Seaborn

    Jupyter Notebook

  4. mnist-digit-recognition mnist-digit-recognition Public

    Deep Learning - Handwritten digit classification using Keras Functional API and optimization techniques - TensorFlow, Keras, Python

    Jupyter Notebook

  5. ImageProcessingTool ImageProcessingTool Public

    Computer Vision - Desktop application for real-time edge detection, segmentation, and morphological filtering - OpenCV, PyQt5, Python

    Python

  6. fake-news-detector fake-news-detector Public

    Natural Language Processing - Real-time fake news classification system with interactive web UI - Streamlit, NLP, Scikit-Learn

    Jupyter Notebook