Mathematics Graduate • Data Engineer • Machine Learning & Analytics
"I blend mathematical thinking with practical engineering to build reliable data systems and measurable, data-driven products."
I am a data and analytics professional with an MSc in Pure Mathematics and hands-on experience across data analysis, machine learning, and business operations. I have worked in roles spanning network modeling, finance, and data product delivery, and I build end-to-end ML systems that move from data ingestion to deployment. My work focuses on practical outcomes such as demand forecasting, churn prediction, and operational dashboards.
I enjoy turning messy data into reliable insights, and I care about clean pipelines, reproducible experiments, and intuitive user experiences. I am comfortable with JavaScript, HTML, and CSS for presentation layers, while my core focus remains Python, SQL, ML engineering, and modern MLOps workflows.
A clear focus on growth, dependable delivery, and meaningful impact across analytics, data, and business domains.
Build dependable solutions that turn complex problems into clear, actionable outcomes.
Deliver thoughtful, practical work that helps teams make smarter decisions and operate more effectively.
Grow into a trusted professional who leads impactful projects across analytics, systems, and strategy.
Integrity, curiosity, and accountability—paired with clear communication and a commitment to quality.
I'm open to data, analytics, and ML engineering roles where I can build impactful, production-ready solutions.