In modern web development, building features is only one part of the job. Understanding how users behave inside the product is equally important.
As I worked on production applications, I started using Google Analytics to track meaningful events, monitor user flows, and identify friction points in the user journey.
This gradually introduced me to analytics engineering thinking: define clean tracking plans, maintain consistent event naming, and ensure data quality before using the numbers for decisions.
From feature launches to conversion improvements, analytics helped me move from assumptions to evidence-driven frontend decisions.
My goal is to keep improving this area by combining product intuition, clean implementation, and measurable outcomes.