My work over the years have involved giving lectures, tutoring seminars, and giving regular presentations to other faculty members. Some of this work has been redesigned for the web and can be found in my portfolio, with raw scripts in various languages archived in the libraries.
This website was built by hand by me; the backend is pure NodeJS, compiled into a Docker Container, hosted on an Ubuntu Server, and distributed via Apache2.
The Front end is written in Pug (formerly Jade), CSS3, Canvas, P5JS, and raw Javascript.
NodeJS
P5js
Google Cloud API
MongoDB
Shell Commands
MD5 Hashes
Statistical Analyses
Data Manipulation Pipelines
Package Development
(ROxygen2 & Devtools)
Machine Learning
Lorem Ipsum
Numpy
Pandas
SciKit-Image
PyGame
GitHub
BitBucket
Mercurial
C++
Java
HTML5
CSS3
SQL
Perl
C#
Visual Basic
Regression Models
Classification Models
Bayesian Modelling
Filtering (differential, mean, gaussian)
Edge Detection (Sobel, Canny)
Object Identification (EigenVector Templating)
Euclidean Geometry
Differentials & Integration
Fractals (Julia Sets)
Cardinality
Using Computer Vision along with Statistical Analyses to measure the Microbial Quality of Fresh Foods
 
Development of an R Package to utilise Machine Learning in finding the Best Performing Regression Models for Metabolomics Data
An in-depth Exploration into the First Computational Methods of Calculating Pi to 2,000 Decimal Places
 
Mathematics, Biology, Chemistry, and English (AS only)
 
OCR Free-Standing Maths Qualification