Badges
Certifications
Work Experience
Doctoral Student
The Alan Turing Institute•  October 2017 - Present
Submitted thesis titled ‘Processing Social Media Text for the Quantamental Analyses of Cryptoasset Time Series’. The PhD research combines quantitative (‘quant-‘) analyses of social media text and cryptoasset time series with the qualitative identification of fundamentals (‘-amental’) that may underpin cryptoasset valuations. This involves Natural Language Processing (NLP), non-parametric statistics and machine learning approaches such as Neural Networks (word2vec). This is to identify what events and concerns were associated with changes between phases of rising and falling cryptoasset prices.
AI Summer School
Microsoft•  July 2018 - July 2018
Head of Data Science
ERS•  January 2017 - September 2017
First Head of Data Science who set up the team of four at the UK’s largest specialist motor insurer, with accountability at board level. Responsible for the management of the recruitment process, interviewing and testing new hires, to build the data science capability into a team of four experts. Conducted programming in Python and R. Successfully enabled the fine-tuning of insurance premiums based on bespoke, specialised, non-parametric technologies, rather than the standard, linear models offered by Willis Towers Watson software. Utilised Random Forests, XGBoost, and GLM along with approaches to feature selection that included Random Forest techniques including Boruta and statistical testing, generating prediction models.
Data Scientist
Hitachi Consulting•  August 2016 - January 2017
Worked as a Machine Learning and Customer Analytics Specialist within the big data and data science team in the IoT analytics and insights practice. Improved customer experience by transforming data into actionable insights, working on regression approaches (linear/lasso/ridge/elastic net/logistic) and data visualisation.
Data Scientist
Model Citizens Ltd•  April 2016 - July 2016
Managed customer data analysis, focusing on data audit and analysis through R, SQL and SAS, aiding clients to understand customer behaviours and build better relationships. Model Citizens is a Customer Analytics consultancy that works with some of the best-known brands in the UK and Europe across a range of vertical sectors including retail, print and broadcast media, and financial services.
Education
University College London (UCL), University of London, London
Computer Science, PhD•  October 2017 - Present
The submitted thesis is titled ‘Processing Social Media Text for the Quantamental Analyses of Cryptoasset Time Series’. The PhD research combines quantitative (‘quant-‘) analyses of social media text and cryptoasset time series with the qualitative identification of fundamentals (‘-amental’) that may underpin cryptoasset valuations. This involves Natural Language Processing (NLP), non-parametric statistics and machine learning approaches such as Neural Networks (word2vec). This is to identify what events and concerns were associated with changes between phases of rising and falling cryptoasset prices. This is supported through a doctoral studentship by The Alan Turing Institute.
University of Cambridge, Cambridge
Management Studies and Economics, MA•  February 2018 - February 2018
Grenoble Ecole de Management
Finance, MSc•  September 2014 - July 2016
University of Cambridge, Cambridge
Management Studies and Economics, BA•  October 2011 - June 2014
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