I’m a data analyst with a strong quantitative foundation, backed by hands-on modelling and analytics work across Python, SQL, and R. My focus is on cleaning and transforming complex datasets, running exploratory analysis, and building statistical and predictive models to produce actionable insights.
I also bring experience with risk and valuation style projects from my Master’s background in Quantitative Finance, where I developed simulation and sensitivity-testing pipelines for longevity-linked survivor bonds under stochastic interest-rate and mortality risk. I enjoy turning technical results into clear, stakeholder-ready outputs through structured reporting and visualisations, and I’m excited to apply these skills to data-driven decision-making in real-world settings.
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