University lecturer, data scientist and civic technology practitioner based in Yaoundé, Cameroon. Contributor at AfricTivistes CitizenLab — building AI-powered tools for governance transparency, public health analytics, and digital rights across Africa.
I am a Computer Engineering lecturer and civic tech practitioner focused on using data science and AI to address real governance, health, and information challenges across Africa.
Through AfricTivistes CitizenLab Cameroon, I build and deploy digital solutions that strengthen citizen participation, combat misinformation, and support evidence-based decision-making.
My practice bridges the academic — training the next generation of data-literate engineers — and the applied, where analytical rigour meets community impact.
TF-IDF + Logistic Regression pipeline on LIAR benchmark dataset. ROC-AUC evaluation, top feature interpretability charts, civic framing for African contexts.
Live World Bank API, 6 indicators, 48 countries. Composite Access Index with Plotly interactive charts and Cameroon spotlight.
End-to-end pipeline from API pull to cleaned data, indicator computation, and formatted Excel output. Reusable MELCleaner class.
Malaria, HIV/AIDS & TB — 22-year trend analysis, Normalised Disease Burden Index, SDG 3 target scorecard vs SSA average.
4-module university course, 4 Colab notebooks, 14-variable Cameroon survey dataset, full assessment rubric. CC BY 4.0.
AI-powered misinformation detection web platform. Real-time text analysis with confidence scores, red flags, and civic context. Netlify deployed.
Landing page for AfricTivistes CitizenLab civic participation app. Citizen reporting, civic news, digital rights education for Cameroon.
Open to collaborations on civic tech, AI for Social Good, and data literacy projects across Africa. Available for consulting, research partnerships, and speaking engagements.