AI & Energy Data Engineer working on production-grade data pipelines, automation, and interactive dashboards for decision support.
- Build end-to-end data workflows: ingestion (APIs), cleaning, feature engineering, and analytics
- Develop ML prototypes for classification and forecasting, then package them into usable tools
- Create interactive data visualizations and dashboards with Streamlit + Plotly
- Turn messy datasets into clear stories: charts, scoring models, and exportable outputs
- Languages: Python, ([GitHub][1])
- Data & ML: Pandas, NumPy, Scikit-learn, TensorFlow/Keras ([GitHub][2])
- Visualization: Plotly, Streamlit, Matplotlib ([GitHub][3])
- Web: Django, HTML/CSS ([GitHub][4])
- Tools: Git, Jupyter, VS Code, Docker ([GitHub][3])
- TravelTiming (Streamlit + Plotly + OpenAI + Open-Meteo): travel recommendation app with scoring algorithm, API-driven climate data, and interactive visualizations ([GitHub][3])
- Powdery Mildew Detection (ML + Streamlit): real-time image classification dashboard, deployed as a live app ([GitHub][2])
- Django Travel Blog: full-stack app with authentication, Cloudinary media uploads, and PostgreSQL support ([GitHub][4])
Building more robust analytics and visualization patterns for climate and energy datasets, with an emphasis on reusable pipeline components and dashboard-first delivery.
- LinkedIn: https://www.linkedin.com/in/otispowell/
- Location: UK