Data Science undergraduate, skilled in Python, SQL, and data visualization. Experienced in machine learning, statistical modeling, and building data pipelines. Strong foundation in analyzing large datasets, and communicating insights through visual dashboards.
Built machine learning model (Random Forest, SVM) to classify spam emails with 92% accuracy. Used pandas, matplotlib, and seaborn to analyze supermarket supply chain data. Use SQL to build supermarket websites including databases, indexes, and reviews.