Data analytics, I do examining, organizing, and interpreting data to uncover useful insights, patterns, and trends that can inform decision-making. Labeling on the other hand, I do assigning meaningful tags or categories to data—especially in machine learning—so that algorithms can learn from it and make accurate predictions or classifications. Together, data analytics and labeling are key steps in turning raw data into actionable intelligence.
