Jacklyne is an Analytics consultant largely working in Machine Learning and Artificial Intelligence applications in problem solving.  She has worked on the Macro-Economic Variables implementation on IFRS9, an international accounting standard focused on the accounting of financial instruments with regards to classification, measurement, impairment and hedge accounting.  She is currently working on IFRS17, a standard detailing the recognition, measurement, presentation and disclosure of insurance contracts.  In the recent past, she has worked in management at one of Africa’s largest e-commerce platforms to optimise product marketing, competitive pricing, cross-selling, and business intelligence through harnessing the power of data and analytics to increase sales, and boost revenue growth.  She has also worked with one of the regionally leading business schools to identify potential areas of growth through Sentiment Analysis, a process deeply rooted in the execution of Machine Learning algorithms to break down and analyse qualitative data in the form of feedback collected over 5 years. 

Outside of the fast growing Data and Analytics practice, Jacklyne was involved in the bid evaluation of the Varsity hostels Public Private Partnership.