Projects & Research
A selection of independent studies, client work and dissertations spanning behavioural economics, data science and programme evaluation.
NLP and sentiment analysis on 1,052 tweets to compare Logistic Regression and SVC models, closing in on the attitude–behaviour gap in green consumption.
Regression analysis of UEA student residences to see whether "sustainable" self-image actually matched energy-saving behaviour.
Designed a nudge-based intervention to shift household energy habits, grounded in behavioural change frameworks rather than pure information campaigns.
A systematic review of privacy-preserving techniques in data mining, weighing their strengths, weaknesses and where the field is headed next.
Built and compared supervised classification models to predict patient health risk from an anonymised dataset, from EDA through to final model selection.
Focus groups and secondary research into what really drives grocery-buying decisions in Indian households, translated into recommendations for a consumer client.
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