Range, across domains and methods.
Beyond the flagship case studies, a body of applied work — academic and independent — spanning forecasting, deep learning, biostatistics, NLP and interactive analytics. Several ship as live applications.
Heart-disease risk prediction with ML ensemble + CNN
A predictive study combining a machine-learning ensemble with a convolutional neural network to estimate heart-disease risk.
Cancer risk in type-2 diabetics over 10 years
An engineering study, in collaboration with an AP-HP hepatologist, modelling hepatocellular-carcinoma risk in type-2 diabetic patients from obesity, hypertension and clinical factors.
Land-cover classification from satellite time series
Classification of land-use parcels in Brittany from 2017 satellite imagery, learning from partially labelled data to predict land-cover class for new parcels.
Twitter's effect on Bitcoin price
An exploratory study scraping Bitcoin-related tweets and market data via APIs to investigate the relationship between social signal and price movement.
RFM customer segmentation for a lingerie brand
Behavioural analysis and RFM segmentation to help a French retail brand understand customers, differentiate communication and allocate marketing spend.
Global infant-mortality evolution since 2000
A data-visualization study of under-five mortality worldwide (2000–2021), relating changes to health expenditure and GDP to test where progress was — and was not — universal.
Additional projects and source code are available on GitHub and LinkedIn.
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