At Stadinet, I built data pipelines to consolidate and clean multi-source data, and developed Power BI dashboards that helped stakeholders make faster decisions.
I also designed and built a RAG-based document processing system in Django and Python to improve access to organisational information.
On DadaCare, I built and deployed a logistic regression model to predict uterine fibroid risk from 13 clinical factors. The platform includes SHAP explainability, role-based clinical views, Power BI visualisations, and automated PDF reporting.
I built Narrashap, an open-source Python library that turns SHAP output into natural-language narratives. At GDG on Campus, KCA University, I led technical workshops and mentored students across data science tracks.
