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Projects

My ultimate goal in data science is to help organizations and individuals make better choices through data-driven insights. It is my passion for this field that has led me to work on a variety of academic and personal projects that showcase my expertise in Python programming, R programming, data analysis, data Visualization, and machine learning and deep learning algorithms.

Applications of Monte Carlo Simulation to calculate VaR (Value at Risk)

The aim of this project is to build a model to perform risk management for Financial Institutions in Stock Market exchange.

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Computational Diagnosis of Coronary Heart Disease using Machine Learning.

Utilized various predictive modeling to assess the 10-year risk of Coronary Artery Disease in patients, leveraging diverse health indicators and predictors.

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