I am a Manchester based Front-End Developer, Data Scientist and
Digital Artist. I work freelance & contract for my company
I've been paid as a Front-End Developer, Data Scientist, Project Manager, Hiring Manager, Social Media Manager, Digital Artist, Business Developer and more. I appreciate that's a bit much!
In my spare time I organise PyDataMCR, teach mathematics and win pub quizzes. I write blogs about agile working, recruitment and beyond over here.
Since 2018 I have been working freelance for a collection of
As a Front-End Developer I work with clients to bring Digital Art experiences into reality.
As a Project Manager, I always bring an agile approach to work. Where it is lacking, I install it. Expect regular updates on timelines and work completed.
As a Data Scientist I work with companies to create prototype projects and help the industry dip into the world of Machine Learning.
At this fashion retailer I developed a credit application product, and lead Spotify-style guilds. I stayed for 5
months, before moving on with pre-covid travel plans.
Developed and maintained products within a Next app, writing React, Redux and TypeScript.
Tests were written in Jest, RTL and Cypress.
A component library with developed in-tandem with Storybook.
Developed Guilds with daily programming challenges, weekly developer activities and monthly speaker slots at community events.
At Telux I participated in the creation of a React project to manage
different types of telephones owned by a company.
Noticing a lack in product ownership I performed the requirements gathering, ticket breakdown of tasks and managed the expectations of the larger business. I managed a weekly mastery time session where I focused on individuals weaknesses and set up sessions of teaching, presenting as well as weekly challenges to grow the team.
I introduced tooling such as: linting, automated testing, pre-commit hooks, deployments as well as Visual Regression testing.
Working in Data Science at Laterooms has given me an oppurtunity to
apply my tools as a Software Engineer to a more mathematical and
In my time here I have worked on the Hotel Ranking Algorithm, MLWords (A project which automates the generation of AdWords Campaigns), and many smaller investigations and models.
Managed the creation of all new cobrands for the company as well as
the removal of redundant cobrands. We use Agile methodologies to
work in a large team without conflict in HTML, SCSS and JS.
I am a big believer in User Experience and have given two brown bags "How to fake it til you make it: a case study" and "CSS as a digital art form".
Raised by Google explores the impacts of data practices on our seemingly autonomous lives, investigating to what degree our experiences are influenced by the systems of a data-driven society.
Spectre is an immersive, ‘black box’ installation comprising six 2.2m high monoliths, which tells a cautionary tale of technology, democracy and society, curated by algorithms and powered by visitors’ data.
Munch is a Chrome extension that shows you recipe inspiration each time you open a new tab on your computer.
A Meetup for Open Source data tooling with over 1000 members. Through this I manage a Twitter, Slack, Meetup and LinkedIn page.
Managed the company Twitter and LinkedIn for BlueOracleData, a company focused on onsite personalisation.
This talk highlights my experiences with my first job in industry, what I learnt and how I was treated. This talk has been given at Salford University, MCRFred and PyDataMCR.
Reason Digital use technology for good, and that’s something we can get behind. Small companies have a lot to gain from low hanging fruit. We agreed to a Q&A panel session.
This is a story of a project that went awry. Over this period we pivoted our focus to projects that continued to deliver value. This talk has been given at OpenData and PYDataMCR.
The audience interact with the piece by ‘tweeting’ the rose. Using sentiment analysis, each tweet triggers the release of water or poison depending on the intentions of the viewer.
Created an application to allow Digital Artists to experiment with various forms of change detection and set the layers to their choice of color, image, video, coded example or live camera.
Red Meters approached us to use Machine Learning to deliver a superior product. We worked with Red Meters to create a data pipeline that automates the transformation of raw data into features.
Mainly focused on Graph Theory, Discrete Mathematics as well as Computer Vision, Artifical Intelligence and User Experience. My final project Change Detection in Live Video.