### Role & Position

I am a mathematically-oriented Data Scientist currently applying myself to a diverse range of problems available to me at Mott MacDonald, working on large datasets and directly with clients.

I tend to be most interested in mathematical and statistical problem solving where it can be applied to problems in scientific and engineering domains to maximise positive social outcomes. I thoroughly enjoy researching and developing novel solutions to problems in technical fields.

Feel free to get in touch at evanharwin@gmail.com or read my curriculum vitae.

### Projects & Research

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*Raytrace Rendering using Python and a healthy amount of Linear Algebra*

This project aims to build a simple rendering pipeline for educational purposes. It's not the fastest renderer in the world and has no hardware acceleration, but good fun to design, build and play with.

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*Teaching Vector Properties using Time Dependant Particle Simulation*

This project looks at extending the idea of visualising divergence and curl by imagining the vector field as a fluid like object. The way I approach this is to look at a particle simulation where the particles are spawned with a velocity that pertains to the value of the vector field at that point.

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*Preprocessing Text Data for Machine Learning with a Neural Network*

Looking into taking data from public sources, and turning it into a resource with greater machine learning value using Python and Pandas. Using One Hot Encoding and considering different simplifications of the dataset for optimal learnability without losing too much entropy.