KHANYISWA TYABULE

A solution-driven and hardworking Quantitative Graduate Trainee candidate who enjoys solving problems equipped with programming, research, communication and collaboration skills. I have a strong desire to further acquire pertinent skills in Data Science due to my fascination with the vast potential of data-driven solutions to tackle complex problems across various fields.

• Dean's certificate at Rhodes University, For achieving overall average of 75% in all my subjects in 2014 to 2016
• Academic excellence award, For achieving overall top marks in St Marry Hall (Rhodes university) in 2014 to 2016
• Academic half colours in the faculty of science (Rhodes University) in 2015
• Careerwise (Oppenheimer Memorial Trust), Accepted by the Trust, offering to pay accommodation, tuition fees and allowance starting from 2014 to 2018
• African Institute for Mathematical Science, Accepted by scholarships , offering to pay accommodation, tuition fees and allowance in 2022

Pricing and Fee Analysis 

I have successfully implemented the pricing and fee project. This project is at the centre of mitigating one of the top emerging risks in the market conduct space. This solution is being used by the compliance teams (monitoring teams, market conduct team), retail and commercial stakeholders.

Tree-Based Model

In an insurance company, the risk departments determines clients' premiums based on their risk profiles. As an analyst, I was responsible for identifying clients more prone to making substantial claims, aiding the company in setting appropriate premium quotes for high-risk individuals.