I am preparing a resume for a data-science/data-analysis role. In the Skills section, I'm listing the tools that I'm skillful at plus the skills. For example:
Data Science tools: Python, Pandas, Numpy, Scipy, Matplotlib, Seaborn, Scikit-learn, SQL, BeautifulSoup, Selenium, Jupyter Notebook, R, NLTK, Amazon Web Services (EC2, S3), etc.
Data Science skills: Machine learning (regression and classification), data visualization, ...
Should I list all the tools that I'm skillful at? For example, should I add XGBoost, LightGBM, tsfresh, Fabric, Boto3, etc. which are software packages I know (they are not as big packages as Scikit-learn for example, but they are powerful)? At what level of detail should I stop?