Farisani Mulaudzi

Farisani Mulaudzi is currently a Quantitative Analyst at Prescient, where Farisani creates web-based investment pages, leverages machine learning techniques, and conducts optimizations of investment portfolios. Previously, Farisani worked as a Portfolio Analyst at STANLIB, where Farisani tested reports for data accuracy, provided performance analysis to clients, and automated processes through coding. Farisani also has experience as a Data Science Intern at the Council for Scientific and Industrial Research and as a Private Tutor at Gutsy Tutoring. Farisani is currently pursuing a BSc Honours degree in Statistics at the University of South Africa.