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AbuKhayrAZ/README.md

👋 Hello, I'm Azeez Ajibola Azeez

🚀 Machine Learning Engineer | Healthcare Data Analyst | Deep Learning Enthusiast

I am a results-driven professional transitioning from a strong background in Medical Biochemistry and Healthcare Data Analytics into the world of Machine Learning and Computer Vision. I specialize in building end-to-end data pipelines and predictive models that solve real-world problems.

🛠️ Technical Toolkit

  • Languages: Python (Pandas, NumPy, Scikit-learn, TensorFlow, Keras), SQL (PostgreSQL, MySQL).
  • Specializations: Computer Vision (CNNs), Predictive Modeling, Healthcare Analytics, Statistical Imputation.
  • Tools: Microsoft Azure ML, Power BI, Git, Docker, Jupyter.
  • Healthcare Domain: Biochemical Data Transformation, Clinical Research Analysis, Health Informatics.

🔬 Featured Projects

🧠 COVID-19 Detection from Chest X-Rays

  • Goal: Automating respiratory infection screening using Deep Learning.
  • Tech: CNN, TensorFlow, Transfer Learning (ResNet50).
  • Focus: Bridging medical domain knowledge with Computer Vision to improve diagnostic speed.

🚢 Venice Boat Classification

  • Goal: Multi-class classification of unstructured image data.
  • Tech: Custom CNNs, Data Augmentation, Dropout Regularization.
  • Focus: Solving classification challenges in high-variance environments.

📈 Business Funding Predictive Preprocessing

  • Goal: Cleaning and validating high-integrity datasets for ML readiness.
  • Focus: Advanced statistical imputation (median/mode) for datasets with 70%+ missing values.

📊 My Journey: From Healthcare Insights to Predictive AI

My background in Medical Biochemistry taught me the value of data precision. As a Healthcare Data Analyst, I realized that analyzing the past wasn't enough; I wanted to build the models that predict the future. Today, I combine my domain expertise in health with Deep Learning to build tools that make an impact.

📫 Let's Connect!

“Building intelligent systems, one epoch at a time.”

Pinned Loading

  1. Venice-Boat-Classification-CNN Venice-Boat-Classification-CNN Public

    Developed a custom Convolutional Neural Network (CNN) using TensorFlow/Keras to classify maritime vessels in Venice. Implemented data augmentation and dropout layers to enhance model generalization…

    Jupyter Notebook 1

  2. Covid19-Detection-DeepLearning Covid19-Detection-DeepLearning Public

    Combined my background in Medical Biochemistry with Deep Learning to build a Lung Classification Model. Using TensorFlow/Keras, I developed a CNN capable of distinguishing COVID-19 from normal lung…

    Jupyter Notebook 1

  3. Supermarket-Sales-AI Supermarket-Sales-AI Public

    An AI-powered sales forecasting engine and interactive dashboard using Random Forest and SHAP explainability to predict and analyze supermarket revenue.

    Python 1

  4. Preprocessing-Data_Business_Funding.csv Preprocessing-Data_Business_Funding.csv Public

    In this project, I walkthrough to the early stage of Data Preparation for Analysis and Modeling. I had access to a raw Comma Separated (.csv) file. I had to handle missing values for each column, d…

  5. New-York-Citi-Bikes-Project- New-York-Citi-Bikes-Project- Public

    1