Computer science graduate with a passion for leveraging data-driven insights to solve complex problems through machine learning and data science.During my undergraduate studies, I developed a strong foundation in algorithms, data structures, software engineering principles, and machine learning concepts like regression, classification, clustering, and model evaluation techniques. I'm experienced in the full data science pipeline from data collection, and preprocessing techniques like feature engineering and dimensionality reduction, to model deployment.In my spare time, I enjoy working on personal projects that allow me to explore new technologies and challenging problem domains.For my 1-month remote internship at InfoAid Tech, I gained hands-on experience developing machine learning models from problem definition to implementation, evaluation, and documentation. Key tasks included data wrangling, feature selection, training algorithms like Random Forest, and optimizing hyperparameters.I'm seeking a role where I can continue growing my skills in machine learning, data science, natural language processing, computer vision, and Python development to solve real-world problems. Please feel free to reach out if you think we could have an insightful discussion about career opportunities where I can apply my passion and contribute significant value.