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kduffuor/README.md

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🧾 Profile Snapshot

name = "Kwabena Duffuor Asante"
location = "Ontario, Canada"

education = [
    "BSc Information Technology Education",
    "MPhil Computer Science",
    "MPS Informatics",
    "Next: PhD in Computer Science"
]

interests = [
    "Healthcare Analytics",
    "Machine Learning",
    "Responsible AI, Ethics & Data Governance",
    "Business Intelligence"
]

skills = {
    "Languages": ["Python", "R", "SQL", "Java", "C++"],
    "Data_Tools": ["Pandas", "NumPy", "Matplotlib", "Power BI", "Tableau", "Excel"],
    "ML_Libraries": ["scikit-learn", "TensorFlow", "PyTorch", "Keras"],
    "Databases": ["PostgreSQL", "MySQL", "SQLite"],
    "Concepts": ["Data Wrangling", "Predictive Analytics", "Deep Learning", "BI Dashboards", "Data Governance"]
}

currently_learning = ["Streamlit", "Flask", "Snowflake", "Advanced Modeling"]

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  1. Brain-Tumor-VGG16-Transfer-Learning Brain-Tumor-VGG16-Transfer-Learning Public

    Deep learning brain tumor classification using fine-tuned VGG16 with transfer learning. Achieves 89% accuracy in classifying MRI scans into 4 categories: glioma, meningioma, pituitary tumor, and no…

    Jupyter Notebook

  2. Fetal-Health-ML-Analysis Fetal-Health-ML-Analysis Public

    Machine learning-based fetal health classification system using cardiotocography data. Compares multiple algorithms (XGBoost, Random Forest, MLP, Logistic Regression) for predicting fetal health st…

    Jupyter Notebook