Experience

Analysing customer and transactional data to build dashboards, interact with stake holder APIs and develop business driven models to improve performance of our softwares and ease the customer journey

Analysing financial data and customer records from a second line defense perspective to ensure the company is compliant to legally binding regulations and internal policies.

Focusing on health data compliance to ensure the privacy of individuals within the larger healthcare scope. Reporting on data risk of reidentification with expert determinations of disclosure risk and maintaining internal R packages, documentation and data sources.

Assisting undergraduate and postgraduate students with Mathematics, Statistics and IT issues relating to their university course, and extending this support to teaching and research staff. Writing and providing tutorial sessions on a variety of subjects and softwares including Microsoft Word, R for Statistics, nVivo for Qualitative Research and SPSS.

Working within the University of Manchester, we formed a team of statistical consultants to assist researchers from all levels of the university with their statistical needs, this included help on specific projects and tutorials on various statistical topics. Our efforts helped educate undergraduate students on basic methods to improve their coursework results and provided lecturers and professors with advice and mentoring to focus their research questions and process their results to produce viable academic outputs.

The goal of this PhD was to improve the academic knowledge surrounding Multi-State Clinical Prediction Models (MSCPMs). To accomplish this, I wrote articles to solve methodological issues that were yet to be addressed and applied these novel techniques (along with the literature) to develop and validate an MSCPM to predict outcomes for Chronic Kidney Disease patients.

As part of the GetReal consortium, I worked within a multi-national team producing methodological techniques to assist in bridging the gap between efficacy and effectiveness in pragmatic clinical trials. Alongside this methodological work, I was involved in an applied study to assess the generalisability and the risk of a Hawthorn Effect in the Salford Lung Study (SLS), a real-world, pragmatic randomised controlled trial.

Within our team of Data Project Analysts, we were tasked with mass data migration and re-unification. I created a system to automate many processes and accelerate the progress of the migration.

Producing business insights and progress reports for examinations results. Coordinated with principal and senior examiners to set grade boundaries based on subject-level knowledge and data derived results. Reprised previous administrative responsibilities to assist other teams within the logistics and production group.

Primarily focused on the deliverables for the SLS. I produced standardised datasets for our pharmaceutical client, ad hoc data analyses and standard operating procedures for the clinical research group. I developed an algorithm utilising a probabilistic model for the merging of pharmacy data with electronic health records sourced from local primary and secondary care data and electronic case report forms provided by the onsite research nurses.

A wide range of roles, including liaising with internal teams and external examiners to provide support and coordination in order to hit marking deadlines and targets in supervisory, administrative and clerical roles. Managing a large workload of examination tasks and providing insights into the progress of the current series.

Starting as a glass collector, I quickly worked up to a Bar Supervisor and maintained that position throughout my undergraduate studies. This experience also afforded me a range of other positions within the hospitality industry that helped to shape my personal core values. My dedication and determined work ethic earned the respect of colleagues and customers and allowed me to develop excellent communication skills with a wide variety of patrons and peers.