I am a principal Data scientist at Roche with a background in Math, Data Science, Machine Learning (ML), AI and LLMs. I completed my PhD in Biomedical Data Science at University of Waterloo, Waterloo, Canada, and then became a Postdoctoral Fellow at University of Toronto and Princess Margaret Cancer Centre, Toronto, Canada. As a data scientist working across diverse organizations at the intersection of healthcare, machine learning, and large language models, my main focus was on real-world impact and on developing end-to-end data pipelines and AI-driven solutions that support better clinical and operational decision-making. My work spans data integration, predictive modelling, and prescriptive analytics—driving innovation in health-related applications by bridging complex data with actionable insights.