Hello! I'm a mathematics graduate from The University of Aberdeen interested in learning programming through the application of numerical methods and data analysis. Currently employed at LexisNexis working as a Solutions Analyst.

Currently I'm eading Armstrong's C++ for Financial Mathematics. You can look through this folder to find all my solutions to the exercises I've solved so far. Since Armstrong has a page containing full code to all solutions in the book, I feel the need to clarify that the code presented in my repository is all my own work, and no consultations have been made throughout my learning process.

To take a break from C++, I've done some basic forecasting price and risk forecasting in python. The jupyter notebook containing long term price predictions, as well as comparisons between different models can be found here. For volatility forecasting of DOG, look here.

Beyond C++ and python, I've also dabbled in R. The bulk of my work in this language was confined to a university project which consisted of predicting the effects of climate change on the River Tweed. My colleagues focused on predicting the change in the river Tweed's flow taking into account climate change. I used the predicted flow data to analyse how the surrounding area in a specific section of the river would be affected. For this I used the libraries OCNet and rivnet together with Taudem to extract a model of the river tweed from elevation data in Scotland. All my code for this project can be found in this repo.