Developed an advanced AI-based system for predicting stroke risks using machine learning algorithms, such as Random Forest and other models. The solution was designed to help healthcare professionals make timely, data-driven decisions, potentially saving lives by identifying at-risk patients before a stroke occurs.

Create an intelligent, scalable model for accurate stroke risk prediction that leverages machine learning to identify key health factors and forecast stroke likelihood with high precision.

Data Collection & Preparation: Led the process of collecting and cleaning a comprehensive health dataset to ensure high-quality input for predictive analysis.

Machine Learning Model Development: Built and fine-tuned multiple models like Random Forest and Logistic Regression, achieving a 90% prediction accuracy.

Model Comparison & Optimization: Performed comparative analysis between different models to select the most effective algorithm for the task.

Collaborative Approach: Worked closely with healthcare professionals to ensure the model aligned with clinical standards and real-world applications.

Outcome: Delivered a predictive tool capable of identifying stroke risk with 90% accuracy, enabling better decision-making in clinical environments.

Machine Learning: Random Forest, Logistic Regression, Support Vector Machine (SVM), KNN

Data Science Tools: Python, Scikit-learn, Pandas, NumPy, Matplotlib

Skills: Data Cleaning, Feature Engineering, Model Validation, Predictive Modeling, Cross-validation

Early Intervention: Helps healthcare providers identify high-risk patients and take preventive measures early.

Improved Accuracy: Achieved a 90% prediction accuracy, significantly improving the reliability of stroke detection systems.

Scalability: The system is adaptable to other healthcare settings and can be easily integrated into existing hospital management systems.

Client-Focused Solutions: Whether you're in healthcare, tech, or consulting, I can help you leverage AI and machine learning for impactful, data-driven solutions.