Learner of the ALX Backend Web Development Program and the ALX Data Science Program. Passionate about creating reliable backend systems and geospatial applications that make complex data useful for real-world decision-making.
- 🌱 I’m currently advancing my skills in Backend Development and Data Science.
- 💡 My Motivation: I believe technology and data have the power to transform societies, from how cities plan infrastructure to how communities respond to environmental challenges. What excites me is applying software engineering to solve practical problems with measurable impact.
- 🎯 My Aim: To grow as a Software Engineer who builds scalable backend systems and geospatial platforms that support innovation in climate resilience, urban planning, and decision-making.
- 🛠️ I’d love to work on: Backend APIs, geospatial web platforms, data pipelines, and ML-powered tools for insights in environmental and socio-economic domains.
Languages & Tools
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🌍 VegeView
A web portal for geospatial analysis focusing on NDVI, LULC, and environmental change detection.
Tech stack: Python, Django, Geopandas, JavaScript -
📊 Climate Variability Analysis
An analysis of rainfall variability in the Benue River Sub-basin to understand patterns and potential implications for water resources and agriculture.
- 📦 Docker & Containerization – packaging apps for deployment
- ☁️ Cloud Platforms (AWS/GCP/Azure) – deploying scalable backend & data apps
- 🔗 RESTful API Design – building robust and secure APIs
- 🗄️ Advanced Databases – PostgreSQL with PostGIS for geospatial data
- 🤖 Machine Learning & Deep Learning – model building for real-world applications
- 📊 Data Pipelines & ETL – automating workflows for analytics and decision support
