R Developer / Data Scientist / Statistician
R developer / Data Scientist / Statistician
Possess 15+ years R programming experience, 8+ years relevant work experience and 5+ years tutoring experience: have covered
wide range of supervised and unsupervised data science algorithms through D.Phil and M.Sc. in Statistics.
<p>Lead programmer responsible for managing a team of 6.<br>
Use R, Quarto, RShiny, HTML, CSS & JavaScript to support data processing, visualisation and statistical applications.</p>
<p>Developing and deploying a RShiny web application for reports.</p>
<p>Developing and deploying a RShiny web application for market partition processes.<br>
Delivery within GSK Azure environment.<br>
Code optimisation tasks to reduce latency and improve UX through HMTL, CSS, JavaScript parallelisation and asynchronous setup.</p>
<p>Led market and economic risk model development in R and RShiny.<br>
Strong focus on automated testing and regulatory processes.</p>
<p>Covered A/B testing, NLP methods, regression and visualisation.<br>
Reported deliverables through RShiny dashboards and RMarkdown using R, HTML, CSS, JavaScript and Git and Linux.</p>
<p>Assisted with development of credit and market risk models: included IFRS9 and CCAR scenario modelling and stress testing.<br>
Collaborated with global team in an agile scrum.</p>
<p>Prototyped and developed marketing prognostic models.<br>
Key techniques: GLMs, regression models, classification methods, random forests, non-linear methods and optimisation.</p>
<p>Applied data science algorithms including random forests and GLM regression models to business problems.<br>
Worked alongside actuarial teams on data science projects using Git and Linux.<br>
Built data visualisation tools including Shiny dashboards and pdf reports using R, RShiny, HTML, CSS and JavaScript.<br>
Projects included creating an interactive RShiny US map to identify profitable regions for flood insurance using a random forest model.</p>
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