About Me
I'm an actuarial science graduate who uses data to make risk and financial decisions clearer – for insurers, banks, and organisations managing complex reporting.
At the e-Crime Bureau's Research, Innovation & Development unit, I analyse data that feeds into strategic and operational decisions. My academic research applied regression spline models to the non-linear relationship between insurance premiums and sum insured – work that sharpened how I think about predictive modelling and reliability. I've also built projects spanning a movie recommendation system, COVID-19 data analysis, and financial modelling in Excel.
My toolkit: Python, R, SQL, Excel/Power BI, and financial modelling. I'm currently deepening this through an MSc in Financial Engineering (WorldQuant University) and a data analysis certification (University of the People).
I'm looking to apply this in data analytics, actuarial analysis, or quantitative finance roles – open to conversations.
