Proficient in Machine learning techniques including: linear and logistic regression, decision trees, k-means algorithms and learning others. 

Portfolio includes projects covering deep learning, credit risk analysis, statistical modelling and automation to streamline solutions.

Driven to apply quantitative analytics to develop tailored solutions to African challenges with a global relevance. Committed to addressing issues within an African context without compromising on innovation, scalability, or international relevance.

Passionate about data collection, exploration, modelling and analysis. Develops workable, data-driven solutions incorporating recent technologies. Communicates results obtained using simple terms and data visualizations tools for an interactive experience.

Broad understanding of financial services and products. Extracts valuable insights from data through quantitative and qualitative analysis. Promoting improved decision making and enhancing the end-users experience to increase profitability.