Labelling
As a Data Science Intern, I contributed to building and deploying machine learning models for various business domains. My primary responsibilities included optimizing data pipelines, collaborating with cross-functional teams, and improving the efficiency of model deployment. This role required advanced knowledge of Python, SQL, statistical analysis, and strong problem-solving skills. • Built and deployed over 3 machine learning models in e-commerce, financial forecasting, and customer segmentation. • Automated and optimized data cleaning, feature engineering, and data validation, resulting in a 30% increase in workflow efficiency and a 25% boost in model deployment readiness. • Developed interactive dashboards using Streamlit and Power BI for real-time data visualization and insights. • Enhanced model accuracy to over 90% and improved data processing speed by 30% through the use of Python, Pandas, and scikit-learn.