Open to graduate data roles — London or remote
Roland
Oteniya
Data scientist in London. MSc Data Science & AI, distinction, University of Liverpool — mechanical engineer before that. I work on time-series forecasting and the unglamorous data plumbing that has to exist before any model is worth running.
Selected work
- Forecasting S&P 500 volatility with deep learning MSc dissertation. Benchmarked LSTM variants against ARIMA and GARCH, then built a hybrid of the two. The hybrid lost — and why it lost is the interesting part.
- Wildfire detection with CNNs — literature review Compared conventional convolutional networks against CNNs using Learning without Forgetting, for more efficient continual wildfire detection.