Emanating from my degree in statistics, I enjoy employing my mathematical and statistical knowledge to the pharmaceutical and life science sector by creating applicable models and working on large datasets. My skills from tackling abstract mathematical problems translate into a rational and analytical approach to complex problems in the real world. I can convey complex concepts clearly and collaborate effectively with teams, making me a great problem-solver!Experienced within the pharmaceuticals industry. I have been transforming, visualising and extracting value from many different forms of clinical and non-clinical data.Skillset includes regression models, survival analysis, signal detection, analytical skills and more. Experience using R, Qlik, Python, SAS and more.Recent work includes development of a standard library of apps in Qlik, writing SAPs, as well as working on CDISC data, specifically SDTM and ADaM data, creating clean, useable outputs.