A problem solver by nature, with a highly quantitative background, and a creative streak that has blossomed since learning to code at Makers Academy. Previously worked within a small ecommerce team at Hewlett-Packard performing website optimisation; with complete exposure to the running of a managed service, including working alongside developers. Now looking to grow as a full stack junior developer by joining an outgoing team that is focused on agile and test driven development.

Ruby is what inspired me to become a developer. I undertook several short C++ courses at university but the simplicity of Ruby is what finally allowed me to start building 'real' things. I love logic and puzzles; ruby suddenly allowed me to begin using that part of my brain to be creative in a very natural way - something i'd never experienced before.

My final project at Makers was Selecta. The app aims to provide simple music discovery. It uses a rails framework with angular front end, offering continuous music playback across the whole site. I wrote the music suggestion alogithm in ruby.

Im also proud of a re-code of the inject challenge that I wrote; offering full functionality with appropriate guard controls.

Two years of working full time as an analyst across the ecommerce and oil/gas sectors means that I have experience working with large datasets. At Hewlett Packard, I mainly performed multivariate website testing, having specialised in statistics whilst studying for my BSc in Mathematics. Two of the accounts I worked on were Office Depot and Debenhams; both of whom renewed $200,000 contracts.

• Intensive 16 week course that brings students up to the level of junior developer.
• OOP, TDD, SOLID, MVC, DDD
• Ruby, Rails, Javascript, Node.js, Angular.js
• Rspec, Jasmine, Mocha

BSc Mathematics (First Class Honours)

• Elected to take modules in statistics, mathematical finance and computing (including basic C++ programming).
• Awarded the Luke Tresloggett prize for a final year project on Extreme Value Theory - a branch of probability theory which aims to model rare events such as wildfires and flooding.

Foundation Year in Electronic Engineering (95% average)

• Awarded the University of York prize for the joint best performance at Foundation Year.

(more details on request)

Seven starred A's; one A; two B's

Brimham resources, Ampthill (January 2014 to Present)

Technical Specialist

• System maintenance for a small private company offering oil & gas consultancy services.
• Low key role held whilst learning to code at Makers Academy and travelling extensively: including joining my partner to hike the Continental Divide Trail (a 2800 mile walk from Mexico to Canada)

Makers Academy, London (August 2015 to October 2015)

Alumni Helper

• Supporting current students on the course: giving code reviews and encouraging best practices.

Autonomy HP, London (March 2012 to Aug 2013)

Analyst

Part of a division which carries out website optimization.

• Responsible for designing and analysing multivariate website tests, and translating test results into meaningful business information.
• Produced ROI forecasts for C level audiences and presented data at client meetings.
• Constant collaboration with account managers and developers, with complete exposure to the running of a managed service.

Energy Intelligence, London (Aug 2011 to Dec 2011)

Consultant

Worked within a small multinational team that carried out the second round of the Joint Organisations Data Initiative (JODI) oil data assessment. The project aimed to increase the transparency of oil market data among 90 countries within 6 organisations including the International Energy Agency (IEA).

• Involved in all aspects of the project, including developing assessment methodology, data analysis and report writing.
• Important teamwork and communication skills required when working with individuals located in the USA and India; discussed country results with representatives within organisations such as OPEC.
• Applied statistical techniques to a wide and variable quality dataset, which required synthesis of data to a number of clear conclusions and recommendations.