Software Engineer | Data & Machine Learning Engineer
I began my career as a Backend Developer, building scalable systems and APIs using Python and Django.
Over time, I became more interested in the data side of software — how data can drive better products, automation, and intelligent decision-making.
Today, I’m focused on Data Science and Machine Learning, exploring ways to turn raw data into meaningful insights and practical models.
I work with tools like NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook, and Google Colab.
My backend background gives me a strong sense of structure, scalability, and clean architecture — which I now apply to building data-driven solutions.
"Building systems. Learning from data. Moving forward."