Data Analysis
I use data analysis in Python to examine large data sets and extract valuable insights. Using libraries such as Pandas and NumPy, I process and clean the data to ensure its quality. I use visualizations with Matplotlib and Seaborn to represent data clearly, making it easy to identify patterns and trends. Additionally, I apply statistical techniques with SciPy to validate hypotheses. This approach allows me to generate detailed reports and make decisions based on accurate and informed data.