I use data analysis, visualisation, statistical and machine learning methods to uncover hidden patterns and insights in social data and present them in an understandable way.
I like solving problems and learning new things, and I am a member of the Centre for Policy Modelling.
→ Here is my recent paper on a new semantic and syntactic similarity measure to determine the similarity between tweets, using word embeddings.
I perform data:
I use Python and R most frequently. SQL and noSQL databases. Big and small data. Windows and Linux. I also have mathematical and programming skills (PHP, Java, C++, etc.).
My PhD explored how methods such as machine learning and visualisation could be used on complex social science data, and used a large, interlinked social database as a case study.
For my MSc I designed & programmed a chatbot, Bob, that had long-term memory. He is old now, and a little (or maybe a lot) out of date as I do not maintain him, but you can still chat to a more forgetful version here.
Chatbots have become very popular in recent years and are much more prevalent than when Bob was created. However, in general, it is still a challenge to create a chatbot that can communicate sensibly. Bob was written using AIML, PHP and MySQL.
If you would like to get in touch, then drop me a line! Please email me, or fill in your details here (all fields are required):