As a professional with a background in quantitative research and data science, I bring a comprehensive skill set to every project I undertake. I am currently a Research Fellow in Data Science at Edinburgh Napier University with the Scottish Center for Administrative Data Research, I lead and contribute to initiatives that leverage administrative data to enhance workforce, health, and social care outcomes across the UK.Holding a PhD specialising in advanced quantitative methods and years of experience in data science and research, I excel in applying diverse research methods, advanced statistical techniques, and programming languages to analyze and interpret complex datasets. My expertise spans developing predictive models, optimizing processes through machine learning, and creating user-friendly data visualization tools that transform intricate data into actionable insights for stakeholders.My academic career has equipped me with a robust skill set in advanced statistical methods and predictive modeling, allowing me to drive data-driven solutions that make a tangible impact. I am passionate about promoting inclusivity and driving positive change, with a multidisciplinary background that spans urban studies, global mental health, public health, and psychology. This diverse experience gives me a unique perspective on applying data science to various fields.I thrive on learning new things, collaborating with interdisciplinary teams, and effectively communicating scientific findings to broader audiences. As I continue to grow in my current role, I remain open to exploring new opportunities where my skills and experience can contribute to meaningful advancements, particularly at the intersection of data science and societal impact. My goal is to continue leveraging my diverse expertise to create impactful solutions that address pressing challenges.