In my experience, I've primarily used Python for data analysis tasks. I frequently utilize libraries such as Pandas for data manipulation, NumPy for numerical operations, and Matplotlib and Seaborn for creating visualizations. For instance, in a recent project, I worked on analyzing sales data to identify trends and patterns. I used Pandas to clean and organize the data, NumPy for performing statistical calculations, and Matplotlib to create visual reports that highlighted key insights. Additionally, I have experience with SQL, which I used to extract and manage data from relational databases, ensuring that I could efficiently query and analyze the necessary information.