Introduction
I am a Masters student in Big Data and Data Science at the African Institute for Mathematical Sciences (AIMS) in Senegal, building on a BSc in Pure and Applied Mathematics from Botswana International University of Science and Technology.
My work sits at the intersection of rigorous mathematics and real-world data challenges. I am passionate about extracting meaning from complex datasets and translating that into decisions that actually matter, whether that is improving operational efficiency at an insurance company or building predictive models from scratch.
What drives me
Areas of Deep Interest
These are the fields I keep coming back to, the problems I find genuinely exciting to work on and that shape the direction of my research and projects.
Data Analysis & Visualisation
Finding the story hidden inside raw data and making it visible and understandable through thoughtful analysis and clear visuals.
Informed Machine Learning
Building ML models that are not just accurate but grounded in domain knowledge because context makes predictions meaningful.
Neural Networks
Designing and training deep learning architectures; CNNs for vision, RNNs and LSTMs for sequences, and everything in between.
Explainable AI
Making black-box models interpretable. I believe decisions made by AI systems should be understandable to the people they affect.
Multimodal AI & LLMs
Exploring large language models and multimodal systems, understanding how AI can reason across text, image, and structured data together.
Applied Mathematics
My mathematical foundation underpins everything I do in data science and machine learning.
Languages
I speak three languages.
Language is how I connect in the classroom, across borders, and through data storytelling.
Beyond the data
A little about me.
Outside of coursework and projects, these are some things that make me, me.