I am an Actuarial Science graduate with over 10 years of experience across data analysis, financial operations, postal operations, and remote actuarial support in both public and private sectors.
My experience combines actuarial thinking with practical data skills. I support insurance and financial analysis through data cleaning, risk reporting, Excel modelling, dashboard development, and statistical analysis. I have experience working with large datasets, preparing accurate reports, and transforming information into insights that support business decisions.
I am continuously expanding my technical capabilities in Python, data analytics, predictive modelling, and modern data technologies, with a strong interest in actuarial data science, insurance analytics, and risk management.
I am passionate about using data to solve real-world problems in insurance, finance, and digital operations. I am open to remote opportunities in actuarial analysis, actuarial support, data analytics, financial modelling, and risk analytics where I can contribute reliability, analytical thinking, and measurable results.
I work effectively across time zones, communicate clearly, learn quickly, and deliver high-quality work with minimal supervision