In my current role, I work with pharmaceutical companies to deliver data-driven insights and models that enhance patient flow understanding and deliver strategic insights.A key project I was involved in was the development of a clinical trials digest. This tool extracted critical information from clinical trials, including the medications involved and associated indications. This project leveraged Docker for containerization, Python Playwright for automated scraping, Flask to create a RESTful backend API, and React to build an interactive front end, with Python serving as the core programming language.Additionally, I have experience with patient flow models built in Java, where I collaborate closely with clients to ensure accurate and responsive patient flow simulations. Specifically, I have worked with models designed to track patient journeys for individuals affected by multiple myeloma and lung cancer, assisting the client in forecasting patient dynamics and treatment efficacy.