In my experience, I've primarily used Python for data analysis, leveraging libraries such as Pandas for data manipulation and Matplotlib for visualization. Additionally, I have a basic understanding of NumPy for numerical operations. For example, during my internship at Exposys Data Labs, I worked on a project that involved analyzing large datasets to identify trends and patterns. I used Pandas to clean and transform the data, ensuring accuracy and reliability. Then, I employed Matplotlib to create visualizations that highlighted key insights, which were presented to the team to support decision-making. This project helped me understand the importance of data accuracy and effective communication of insights through visualizations.