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Axmedn/README.md

Ahmed Mohamed

Statistics graduate, BSc (Hons), University of Glasgow (2026). I work mainly in R, with Python and SQL alongside, on statistical modelling, data cleaning and reporting for non-specialist readers.

Projects

Project What it shows
Neural network drift monitoring Dissertation (first class). Depth-based control charts that detect when a neural network's input data has drifted, without needing labels. R, keras3, ddalpha.
Cornwall property valuation dashboard R Shiny dashboard on 62,711 property sales: regression model comparison, value estimates with confidence intervals, extrapolation warnings. Live app linked in the README.
EVI functional data analysis Full report on satellite vegetation curves: GCV-tuned smoothing, derivatives, and functional PCA with cross-validated smoothing. R, fda, Quarto.

LinkedIn

Popular repositories Loading

  1. cornwall-property-dashboard cornwall-property-dashboard Public

    Interactive R Shiny dashboard estimating Cornwall house prices from 62,711 sales, with confidence intervals and extrapolation warnings

    R

  2. neural-network-drift-monitoring neural-network-drift-monitoring Public

    BSc dissertation (first class): detecting data drift in neural networks without labels, using depth-based control charts on network embeddings. R, keras3, ddalpha.

    R

  3. evi-functional-data-analysis evi-functional-data-analysis Public

    Functional data analysis of satellite vegetation index curves in R: GCV-tuned smoothing, derivatives and functional PCA

  4. Axmedn Axmedn Public

    Profile README

  5. level-3 level-3 Public