Translating complex variables into actionable insights through rigorous scientific methodology and predictive modelling.
Development of bespoke Streamlit applications to make complex data models accessible to non-technical stakeholders in real-time.
View Repository →Transforming messy, raw data into clear business intelligence through Exploratory Data Analysis (EDA).
Building interactive Power BI and Streamlit visualisations that allow you to "talk" to your data.
Designing Python scripts and SQL pipelines to automate repetitive tasks and eliminate human error.
My journey began with a foundation in Microbiology, where I developed a disciplined approach to experimental rigour. I have since pivoted to the ALX Data Science Programme, bridging that scientific mindset with a technical toolset of Python, SQL, and Machine Learning.
Data Science Professional Certification
Scientific Methodology & Quantitative Research