I am a learner focused on data science, machine learning, and Python, with a strong interest in building practical, end-to-end projects. I enjoy breaking down complex problems, asking the right questions, and turning raw data into meaningful insights.
My work emphasizes clean code, reproducible pipelines, and continuous improvement through hands-on practice. I actively explore data analysis, feature engineering, model evaluation, and visualization while strengthening core computer science and algorithmic foundations.
I use GitHub to document my learning, share projects, and track progress through real-world datasets and challenges.
