In my experience, I have primarily used Python for data analysis, utilizing libraries such as Pandas for data manipulation, NumPy for numerical computations, and Matplotlib and Seaborn for data visualization. I have also used SQL for querying and managing relational databases. For instance, during my internship at Exposys Data Labs, I worked on a project where I had to analyze large datasets to extract meaningful insights. I used Pandas to clean and transform the data, and Matplotlib to create visualizations that helped in presenting the findings to the team. This project not only enhanced my technical skills but also improved my ability to communicate complex data insights effectively.