As a Data Science Intern, I gained hands-on experience in applying data science techniques to real-world problems. My responsibilities included collecting, cleaning, and analyzing large datasets to uncover meaningful insights, and developing predictive models to support decision-making processes. I worked with tools like Python (Pandas, NumPy, Scikit-learn), SQL, and Power BI to automate data workflows, build visualizations, and deliver actionable insightsDuring my internship, I contributed to various projects, including:Predictive Analytics: Developed a machine learning model to forecast trends, improving resource allocation by 20%.Data Cleaning & Preprocessing: Managed and transformed raw data to ensure its quality and readiness for analysis.Visualization & Reporting: Created interactive dashboards in Power BI to monitor KPIs and support strategic decisions.This experience honed my technical skills and deepened my understanding of how data science can drive innovation and efficiency in a business setting. I am eager to further expand my expertise and contribute to data-driven solutions in a full-time role.