CS graduate turning data into insight, from tracking STEM gender gaps across 183 countries to malaria risk modeling. Programs Officer & technical lead at STEM Girls Connect.
Portfolio space for early projects, coursework, and learning-focused work that shows my developing skills.
Analyzed UNESCO UIS and ILOSTAT data across 183 countries to examine women's representation from STEM education into the workforce, including an Africa-focused analysis. Transformed and modelled data using Power Query and DAX and developed a five-page interactive Power BI report communicating cross-country gender disparities.
Analyzed World Bank Global Findex 2025 data across approximately 140 countries and six survey rounds (2011–2024); cleaned and explored financial inclusion data and applied statistical hypothesis tests. Built a multiple regression model explaining 84% of variation in account ownership.
Analyzed 2007–2017 data across all 54 African countries covering infrastructure and population indicators; built a Random Forest classifier predicting Low/Medium/High malaria burden. Achieved 86.4% test accuracy versus 45.5% for a logistic regression baseline.
Developed a bilingual English/French statistical analysis suite in Python and Streamlit covering probability distributions, descriptive statistics, hypothesis testing, ANOVA, correlation, regression, and goodness-of-fit, with CSV/PNG/PDF export.
Developed a bilingual browser extension for WhatsApp Web and Facebook that detects Cameroon-specific scams and verifies claims, combining FastAPI, Gemini, rule-based detection, and evidence retrieval from fact-checking and trusted news sources.
Full-stack agricultural marketplace.
Ongoing AI-powered personal finance platform for the Cameroonian market.
CS graduate turning data into insight, from tracking STEM gender gaps across 183 countries to malaria risk modeling. Programs Officer & technical lead at STEM Girls Connect.
I'm a Computer Science graduate from Université de Dschang, Cameroon, and Programs Officer at STEM Girls Connect, a nonprofit I co-founded to close the gender gap in STEM. I lead the technical and data analysis side of our work. On my own, I've built a Power BI dashboard tracking female representation in STEM across 183 countries, a gap analysis model on World Bank financial inclusion data, and a machine learning classifier for malaria risk in Africa. I'm a Theirworld Global Youth Ambassador and 2026 Diana Award Judge, and I'm looking for opportunities to apply data skills to real problems.
Experience
Co-founder, Programs Officer & Technical Lead
STEM Girls Connect, Cameroon · Mar 2024 – Present
Teacher
Holiday classes for primary and nursery school pupils, Foumban, Cameroon · Jul 2022 – Present
Teacher
GBNS Kounga, Foumban, Cameroon · Sep 2025 – Oct 2025
Documentation Intern
Success Documentation, Foumban, Cameroon · Sep 2021 – Aug 2023
Education
University of Dschang, Cameroon
Licence (Bachelor's Degree), Computer Science
Sultan Ibrahim Njoya Government Bilingual High School, Foumban
GCE Advanced Level, Science
Sultan Ibrahim Njoya Government Bilingual High School, Foumban
GCE Ordinary Level, Science
Skills
Analyzed UNESCO UIS and ILOSTAT data across 183 countries to examine women's representation from STEM education into the workforce, including an Africa-focused analysis. Transformed and modelled data using Power Query and DAX and developed a five-page interactive Power BI report communicating cross-country gender disparities.
Analyzed World Bank Global Findex 2025 data across approximately 140 countries and six survey rounds (2011–2024); cleaned and explored financial inclusion data and applied statistical hypothesis tests. Built a multiple regression model explaining 84% of variation in account ownership.
Analyzed 2007–2017 data across all 54 African countries covering infrastructure and population indicators; built a Random Forest classifier predicting Low/Medium/High malaria burden. Achieved 86.4% test accuracy versus 45.5% for a logistic regression baseline.
Developed a bilingual English/French statistical analysis suite in Python and Streamlit covering probability distributions, descriptive statistics, hypothesis testing, ANOVA, correlation, regression, and goodness-of-fit, with CSV/PNG/PDF export.
Developed a bilingual browser extension for WhatsApp Web and Facebook that detects Cameroon-specific scams and verifies claims, combining FastAPI, Gemini, rule-based detection, and evidence retrieval from fact-checking and trusted news sources.
Full-stack agricultural marketplace.
Ongoing AI-powered personal finance platform for the Cameroonian market.
