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Asifr001/README.md

👋 Hi, I’m Asif Rahman

🔍 I’m passionate about data science, advanced analytics, and applying machine learning to solve complex, real-world problems.

📊 My expertise lies in exploratory data analysis, predictive modeling, and statistical programming.

🚀 Currently, I’m working as a Research Analyst at West Virginia University Medicine, where I analyze complex healthcare datasets to drive impactful insights and innovations.

🌱 I’m always learning and currently exploring advanced techniques in machine learning, deep learning and data analytics.

🤝 I’m looking to collaborate on projects involving data analytics, machine learning models, and data visualization.

📫 You can reach me at [email protected]

Let’s connect and turn data into actionable insights! 💡

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  1. West_Virginia_Geospatial_Analysis West_Virginia_Geospatial_Analysis Public

    Geospatial and statistical analysis (using python) of pulmonary embolism patient data to uncover healthcare disparities and clinical trends.

    Jupyter Notebook

  2. Advanced-PLS-SEM-Analysis Advanced-PLS-SEM-Analysis Public

    Advanced PLS SEM Analysis with R

    HTML

  3. Machine_Learning_Heart_Failure_Prediction Machine_Learning_Heart_Failure_Prediction Public

    Predicting mortality risk in heart failure patients using machine learning models on clinical data by Python

    Jupyter Notebook

  4. Diabetes_Prediction_by_Machine_Learning Diabetes_Prediction_by_Machine_Learning Public

    A machine learning model built to predict diabetes outcomes of female patients by Python

    Jupyter Notebook

  5. Clinical_Trials_with_R Clinical_Trials_with_R Public

    This repo is dedicated to exploring the realm of healthcare through data-driven insights and analysis. The aim of this project is to leverage data science methodologies to understand, interpret, an…

    R 1

  6. BreastScanNN-Deep-Learning-for-Cancer-Classification BreastScanNN-Deep-Learning-for-Cancer-Classification Public

    A deep learning model built with TensorFlow to classify breast cancer as benign or malignant based on clinical features.

    Jupyter Notebook