Tell about your experience working with data and related projects.

In my practice, I have worked with various types of data and projects related to their processing and analysis. For example, I used Python libraries such as pandas and NumPy for processing tabular data, cleaning, and transformation. I also have experience working with databases — writing SQL queries for data extraction and aggregation.

In one project, I was involved in collecting and analyzing web application logs, where I processed large volumes of data, identified anomalies, and generated reports. For visualization, I used matplotlib and seaborn.

Additionally, I am familiar with the basics of working with APIs to retrieve data from external sources and subsequently process it in Python.