I am a data science learner and enthusiast with a curiosity for research and deep statistical analysis, a love for clean code, and a passion for uncovering meaningful insights through data.
✔ I enjoy diving into messy, real-world datasets, where the real potential of data begins to emerge.
✔ I gravitate toward SQL and Python (with the occasional help from Excel and Power BI) to explore historical and time-based data across my projects.
✔ My work features a mix of regression, clustering, time series analysis, statistical methods, and EDA, applied to real-world datasets to build interpretable models and vivid dashboards.
✔ Currently, I'm focusing on projects around public data, social systems, and sustainability, applying data science to questions with real-world impact.
