I am comfortable with Python, which I have used extensively for data manipulation and analysis. During my internship, I worked with libraries like Pandas for data cleaning and transformation, ensuring data accuracy and reliability. I also have experience with Matplotlib and Seaborn for creating visualizations to communicate insights effectively. Additionally, I have a basic understanding of SQL, which I use to write queries for data retrieval and aggregation. These skills have helped me in developing efficient data pipelines and supporting data-driven decision-making processes.