Certainly, during my academic projects, I primarily used Python for data analysis and automation tasks. In one of my projects, I developed a script to automate data collection and processing, which significantly reduced the time required for manual data entry. Additionally, I utilized Python libraries like NumPy and Pandas to perform data manipulation and analysis, allowing me to derive meaningful insights from large datasets. This experience helped me enhance my problem-solving skills and understand the practical applications of Python in real-world scenarios.