Machine Learning Intern
As a Machine Learning Intern, I developed skills in classical machine learning methodologies and applied them to real-world problems. I implemented various algorithms and models using Python and scikit-learn, focusing on building effective solutions. This role enhanced my expertise in managing and processing highly imbalanced datasets through advanced resampling methods. • Applied regression, classification, clustering, and dimensionality reduction techniques in practical scenarios. • Tackled multiple machine learning competitions on Kaggle to improve preprocessing and model selection skills. • Utilized SMOTE and cost-sensitive learning strategies to address class imbalances and boost accuracy. • Collaborated in a team environment to deliver machine learning solutions using Python and scikit-learn.