Strong in Python & SQL, with hands-on experience across ML, time-series forecasting, NLP, clustering and classical ML.

MLOps & Cloud: AWS (Lambda, S3), Airflow, Docker, automated data ingestion and scalable pipeline design.

Advanced forecasting: Temporal Fusion Transformers, lag/spatial feature engineering, SARIMA, Prophet.

NLP & analytics: thematic analysis with LLMs, sentiment modelling, large-scale web-scraping of financial/social/media data.

 Improved time-series forecasting accuracy by 1–2% WAPE through advanced feature engineering and model optimisation.

 Delivered customer segmentation enabling 4 actionable profiles, driving 8%+ uplift across key engagement metrics.

Led MMM and experimental design projects achieving £600k revenue uplift in one year.

Built revenue/ROI-driven simulations and NLP insights that strengthened marketing strategy and increased client ROI.