Environmental Data Scientist at Nordic Energy — turning sensor, environmental, and public-sector data into models and decisions.
StreamDash — real-time environmental monitoring platform for SuDS (Sustainable Drainage Systems) research at the University of Hull. Live sensor data from 22 WeatherLink nodes across campus, interactive maps, time-series analytics, and a digital twin: Random Forest surrogate models that predict soil moisture response to rainfall at six depths, enabling "what if" simulation of drainage behaviour. Funded by the UPP Foundation. 🔗 Live at streamdash.org · 📄 API docs
Other things I work on:
- Procurement & tender intelligence pipelines (FastAPI, semantic scoring, Microsoft 365 integration)
- Environmental sensor networks, geospatial analytics, and surrogate/ML modelling of physical systems
Python · scikit-learn · FastAPI · React · pandas · MariaDB · Docker · Streamlit · Leaflet
✉️ efe.akpovwovwo@nordic.energy (work) · akpovwovwoefe@gmail.com (personal)