I've built a CNN in Python and R to classify CIFAR-10 images, reaching 75–80% test accuracy through convolutional layers, SGD, dropout, and Adam optimisation. I also analysed 50 London crime indicators using correlation, regression, significance testing, Excel, VBA, dplyr, and ggplot2.
My Mathematics BSc included advanced numerical methods, probability and statistics, and deep learning. Alongside technical projects, I've led teams and managed operations at Bridge Baker, maintained client ledgers at Landmark Legal LLP, and developed Arduino sensor projects involving data acquisition, processing, and system control.
