Machine-learning focused software engineering student with hands-on experience building and evaluating supervised and unsupervised learning models using Python and Jupyter Notebook. I have a solid foundation in data preprocessing, feature engineering, model evaluation, and ML pipelines, supported by coursework in Machine Learning, Mathematics for ML, and Software Engineering.
I’m motivated to apply ML techniques to real-world datasets and integrate data-driven insights into software systems. I’m excited to contribute to healthcare, education, and environmental sustainability projects and to continue learning by building end-to-end ML systems and collaborating with cross-functional teams.
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