david@drawbycode.com
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Latest Projects
I currently run multiple automated trading strategies on sports markets. The bot is coded in Python, and the bot's decision-making is based on machine-learning models that I have built to forecast goal occurence.
A large-scale system that detects phishing websites using machine learning. Feature extraction is restricted to the URL only. This project is currently being integrated to the systems at Netcraft.
About
I am a confident problem solver with extensive programming experience (in particular Python, .NET), having developed applications for commercial clients from a young age. My interests lie in the areas of finance, machine learning and trading technology.
I am also interested in algorithmic trading, and have developed several trading strategies in the sports trading domain.
For my BSc thesis, I built a commercially successful large-scale phishing detection solution using Python (scikit-learn, NumPy, SciPy) that uses machine learning to identify threats in real-time.
I will be joining the graduate programme at J.P. Morgan this September, following a successful 14-month placement during 2015/16.