The following bite-sized sections will tell you a lot about me in a few minutes:
I am currently a data scientist at H2O.ai, a venture-backed technology start-up in Silicon Valley.
Before joining H2O.ai, I was in the business intelligence team at Virgin Media where I developed data products to enable quick and smart business decisions. I also worked remotely for Domino Data Lab as a data science evangelist promoting products via blogging and giving talks at meetups.
I enjoy contributing to the open-source community in my spare time. I am particularly interested in data mining and visualisation projects. My favourite programming languages are R, Matlab and Python. I am also learning how to leverage the power of JavaScript, CSS and HTML5 for web development. My recent projects include:
See all my projects and source code on GitHub.
I have a background in water engineering. Before my data science journey, I was an Engineering Doctorate (EngD) research engineer at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimisation. The project was co-supervised by University of Exeter and XP Solutions. During that time, I won the best young researcher award at an international conference. For more information, see this Prezi.
Prior to my EngD project, I was an asset management consultant at SEAMS where I assisted utilities companies in UK and abroad with their infrastructure investment planning. I also holds a MSc in Environmental Management and a BEng in Civil Engineering.
I discuss my research and open-source projects in details using my blog (instead of this personal page). It is one of R-bloggers' 550+ contributing blogs. Interested in the behind-the-scenes stories of my projects? Go to my blog
Back in 2014, I wrote a guest blog post for H2O.ai and Domino explaining how to use their technologies for a Kaggle (data mining) competition.
Here are some of my data science talks at conferences and meetups:
My EngD research talks at academic conferences: