Portfolio

This portfolio showcases a collection of data analytics, visualization, machine learning, and applied data science projects designed to reflect real-world problem solving. Each project demonstrates my end-to-end thinking — from exploratory analysis and business understanding, through feature engineering and modeling, to interpretability and actionable recommendations.

The datasets used in these projects are publicly available sources, including platforms such as Kaggle, and are intentionally chosen to mirror real business scenarios. The primary focus of this portfolio is not the data itself, but how I approach problems, make modeling decisions, validate results, and communicate insights in a clear manner.