Projects

A collection of my technical work — from neural networks to image processing pipelines.

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Analyzing Heart Disease Risk Factors

Deep learning models (MLP, TabNet) trained on patient health datasets to predict heart disease risk, supported by preprocessing, feature engineering, and evaluation using accuracy, precision/recall, and ROC curves.

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Virtual MRI

A MATLAB-based physics simulation of MRI acquisition featuring Fourier‑domain filtering, reconstruction algorithms, and a modular GUI for exploring parameterized imaging outputs.

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COVID‑19 Public Health Data Analysis

Exploratory data analysis, outlier detection, and predictive modeling on COVID‑19 datasets using Python and Scikit‑learn to uncover trends and assess public health impacts.

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