As a data scientist, I specialize in transforming complex data into clear, actionable insights.
My work bridges the gap between raw information and informed decision-making by combining analytical thinking, statistical modeling, and efficient engineering practices.

I take pride in designing robust data pipelines, automating analysis workflows, and delivering insights that matter.
Clarity, structure, and reproducibility are at the core of everything I build.

• Translate data into measurable value
• Develop clean, maintainable, and well-documented code
• Build machine learning pipelines from preprocessing to production
• Communicate findings in a way that supports real-world decisions

• I believe in data as a language — my job is to make it speak with meaning.
• I write code that is readable, scalable, and reproducible.
• I focus on structure and clarity, not just outcomes.

"Turning complexity into clarity — one dataset at a time."