About Me
Highly versatile, enthusiastic, and reliable professional with a strong work ethic and a
passion for mathematics, statistics, agriculture, music and javelin. I approach every task
with dedication and a…
Highly versatile, enthusiastic, and reliable professional with a strong work ethic and a
passion for mathematics, statistics, agriculture, music and javelin. I approach every task
with dedication and attention to detail. I value balance in life, finding equal importance in
my professional growth, sporting pursuits, and relationships with those around me. As a
curious, eager-learner and team-player, I thrive for consistent high-quality results.
Experience
Actuarial analyst
<p>My main responsibility is to maintain and update our premium simualtions on our analysis platform and integrating the simulation with the rating system online. </p><p></p><p>Also responsible for monthly premium optimisation based on client segmentation. </p><p></p><p>My work entails automising a lot of outdated work with newly upgraded structures. </p><p></p><p>Assist with premium calculations for new products, monitoring and other analysis. </p>
Graduate
<p>Project associated with developing a multi-period simulation framework for short-term insurance pricing.</p><p></p><p>Provided a trajectory loss ratio over 3-5 years based on the probability of churning and the continued policy change. </p>
Student project
<p>Member of a three-person team developing a prototype student risk identification and tracking system.</p><p> The system identifies students at risk of failing based on multiple factors and supports monitoring and follow-up interventions.</p>
Student assistant
<p>Student assistant for second year students in Financial Management and honour students in Statistics, respectively for mostly marking tests.</p><p></p><p>Hosted demo sessions for additional learning opportunities. </p>
PROJECTS
Independent Cattle Market and Climate Analytics
<p>Developed a weekly cattle price forecasting model using historical market data across multiple weight categories. Integrated climatic</p><p>variables (e.g. rainfall) to analyse relationships between production conditions and pricing. Applied time-series and statistical modelling</p><p>to identify trends, volatility, and key price drivers, generating decision-relevant agricultural insights.</p><p></p>