I'm a budding software engineer, interested in machine learning and automation, with a background in science and photography.

I've spent the past 10+ years juggling full-time childcare of my two children with building up a photography business, which has been challenging, to say the least. I'd never even sold a picture when I started out, let alone brought up kids.

Before this, I spent 13 years in various science-related roles, from water testing and food microbiology, to cell culture and parmaceutical quality control, before securing a position in an academic research team at The Institute of Cancer Research, investigating DNA damage and cancer for 7 years.

With the children now growing up fast and the photography business not really fitting into the demands of family life, I've decided to pursue a career change into computing. I've always had an understanding of computers, despite never having had a formal education in computing. We barely touched a computer when I was in school. But in every job, I've been able to help others with computing problems and identify problems.

So, in a rapidly changing world, moving towards automation and artificial intelligence, it seems like a great time to start learning how to put ideas into practice and start learning to code.

After joining a coding platform and working through various courses for a year, learning about python and javascript, I signed up to study for a Diploma in Full Stack Software Engineering, with The Code Institute.

I've learned so much, in such a short space of time, that it's hard to remember it all to be honest, but I do know that nothing teaches you how to code as well as trying it out. Making something work, fixing errors and finding ways to overcome obstacles really advances the learning process.

Simple, one page website, limited to HTML and CSS only. Repository Live Site

A site using javascript. Repository Live Site

Python terminal project. Repository Live Site

CRUD website, using Django. Repository Live Site

Machine Learning project, using image analysis. Repository Live Site