Experience with both Gulp and Grunt to automate:
Joint Honours Undergraduate Degree over 3 years involving multidisciplinary learning across criminal justice, politics, economics, philosophy, research methods, statistics, history, psychology and industrial relations. Final year dissertation focused on statistical and theoretical review of effect on prisoners leaving the criminal justice system and policy research on positive indicators in desisting from criminality.
This has led to positions in business and later a career in the Public Sector alongside a voluntary position of mentoring former offenders to encourage re-integration into the community.
The GSS is a community working in the collection, production and communication of official statistics to help government, business and the public make informed decisions. The GSS is made up of statisticians, data scientists, researchers, economists, policy experts, business support teams, data journalists, data visualisation experts, methodologists, media experts etc.
The GSG is made up of the statisticians and data scientists working in government who have passed a GSG badging exercise. This can be done as part of the interview process or you can “go through badging” when you are already working in the GSS.
A course and blog website built using Django, Python and PostgreSQL. Deployed using a Linode Ubuntu Linux container. Features included:
The project was to create a machine learning web application which predicts the probability of surviving the famous titanic ship-wreck based upon user input variables and the training dataset from Kaggle. This combined both CS and machine learning skills to deploy a Flask app to Heroku. In addition, I built an automated web driver script to speed up testing.
A project to find and share answers to interview questions. Built using MongoDB, React, Express and Node.js
A cross platform electron-vue desktop application to display movie information using OMDB of the files stored in a directory. The built application can be used by downloading and running the folders and Setup exe below via OneDrive. Please note you accept any risk in downloading and using this software.
A project completed on Kaggle whilst completing the Microsoft Professional Certificate in Data Science. I built a ML regression model to predict house prices in Aymes, Iowa. I demonstrated CRISP-DM (cross-industry standard practice in data mining) to explore, model and evaluate the solution which scored highly upon submission.
A project I built using HTML, CSS and jQuery to decorate a Google News URL to gather five years worth of a news story to see how it has developed over time. This is very useful in a time of information overload, we are quick to forget key events that happened years ago so this allows a user to review previous articles.
A project I built using HTML, CSS and JavaScript to forecast how many years it will take to reach x25 your annual expenses, and to show you your savings rate.
I used auto-calculating fields on key-up, HTML DOM, variables, functions, while loops and arithmetic operators and increased my understanding in applying algorithms and equations to problems.
Inspired by the challenge at FreeCodeCamp, the app uses the Wikipedia API open search endpoint to pull back requests. The user stories were; I can search Wikipedia entries in a search box, and I can click a button to see a random Wikipedia entry.
I used HTML, CSS, JavaScript, AJAX and JSON and developed knowledge on manipulating URLs and arrays alongside DOM manipulation.
A quick project to implement a random programming quotes generator using AJAX to call an open API; credit to skolakoda.
There are functions for viewing a quote author's Wikipedia page, alongside a decorated URL function to tweet the quote.
A website to present my hobby of traveling, built for CS50 Pset 5. I used mostly HTML, CSS and Bootstrap4 to build this simple mobile-optimised site with a function for the I'm Feeling Lucky random page button using JS and jQuery. I used the W3C Markup Validation Service to error check the code as per the project specification..
Data Scientist, Full-Stack Web Developer and general Problem Solver.
I have a passion for using technology, data and statistics to make things easier and more efficient. Most of my learning has been self-directed and on the job. I have also achieved qualifications with EdX in Data Science and Computer Science, alongside auditing other online courses to improve my skills.
I am a Data Scientist working in a large organisation. I build analytical and automation tools, business intelligence solutions and full-stack web applications to enable better decision making and predictive capabilities.
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