Coefficient is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses. During the role I have worked on the following:- Various internal projects to optimise business operations including automation scripts and interactive web based tools for tuition. They were made with developer tools including Django and pandas.- Working with clients for consultancy and analysis based work, including data… Show more Coefficient is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses. During the role I have worked on the following:- Various internal projects to optimise business operations including automation scripts and interactive web based tools for tuition. They were made with developer tools including Django and pandas.- Working with clients for consultancy and analysis based work, including data preparation and visualisation in Python. Other work includes data annotation for image based machine learning using open-source tooling, and the PyTorch ML framework for algorithm development.- Teaching assistant for training clients remotely- Project management of company Git repositories Show less

My PhD thesis focusses on the use of deep learning for human activity recognition, specifically using ambient sensors. Many applications used intrusive methods for data collection. Within sensitive healthcare-based environments, it is essential to be able to collect as much data as possible, but in a non-invasive manner. During the project, I collaborated with institutions researching methods of ambient data collection in purpose-built healthcare facilities and applied novel machine learning… Show more My PhD thesis focusses on the use of deep learning for human activity recognition, specifically using ambient sensors. Many applications used intrusive methods for data collection. Within sensitive healthcare-based environments, it is essential to be able to collect as much data as possible, but in a non-invasive manner. During the project, I collaborated with institutions researching methods of ambient data collection in purpose-built healthcare facilities and applied novel machine learning algorithms to classify activities of facility residents. The aim is to identify decline in wellbeing, which can support caregiving and look to optimise medical reporting. Show less

This role was running activity led learning labs for the introduction of programming in Python and C++ for the BSc Computer Science course at Coventry University.

This role was working on the Learning Records Service. The Learning Records Service collects data relating to learners registering for relevant post-14 qualifications, for example GCSEs, AS and A2 Qualifications, Diplomas and associated units, Apprenticeships, Entry to Employment Certificates and other vocational units.Tasks in the role were to maintain data quality checks, ad-hoc reporting and scheduled reporting. This was using Oracle SQL and Microsoft T-SQL systems.

This role was providing lab support for first year BSc Computer Science students on the Introduction to Programming module in C++.