Passionate about all things data and inspired by new technologies, I took the courageous decision in 2016 to change career and study a full time MSc in Data Science and Analytics. I am now excited to be exploring the world of computer vision, found through work on my thesis “Convolutional Neural Networks in Self-Driving Systems”. This used Tensorflow and Python to investigate the effects on CNNs of novel situations and the implications for autonomous cars.
Coursework and extracurricular projects to date have given me the opportunity to further develop my programming skills. A Tweet analysis group project aimed at predicting the volatility of the S&P500 Index gained us an A* for the module, and my web app displaying graphical sentiment relating to films won the 2017 CodeFirst Girls’ Python Challenge. An ongoing project to build a self-driving car is currently fuelling my enthusiasm.
Previously, over a decade of professional experience in competitive business environments has seen me co-own a business, organise logistics for the construction of Stratford International station and supervise works on the London 2012 Olympics. In an environmental management capacity, my work brought me into contact with councils, statutory authorities, schools and the public, many of whom have requirements conflicting with the construction teams I assisted. My background in problem solving meant that I was fully equipped to manage the resolution of these issues.