Data Scientist
Data Science Contracts
Dublin
Project Examples:Developed a social media listening system for a large utility company, to perform market segmentation on their clients, using various clustering analysis techniques.Collated data from several disconnected sources, to build customer churn prediction models, using K-Nearest Neighbour, Random Forest, and Support Vector Machine.Updated feature extraction and transformation algorithms, used to generate continuously evolving reports for the digital project manager.Developed a fraud detection system for insurance loss adjusters, where lost or stolen property claim details, were searched for on classified ads websites.Acting as Data Ambassador on several charity projects for DataKind Dublin. Involves liaising with the data owners, data carpentry, configuring APIs, and documenting in preparation for intensive data analytics sessions, involving teams of up to twenty data scientists.Scraped data on over 2 million products from an e-commerce website, and developed a price prediction engine, using neural network machine learning models.Implemented an ‘event detection’ algorithm to monitor and report on live Twitter action during the World Cup 2014 matches.Carried out extensive research on the suitability of using the MapReduce framework for implementing machine learning algorithms.