As a Data Science graduate student at Rutgers, I'm exploring the intersection of analytics and real-world applications. My focus lies in leveraging data science to bridge disciplines and drive meaningful change.My experience ranges from optimizing retail operations and building Business Intelligence Pipelines to developing Deep Reinforcement Learning models for traffic control, and financial markets. Each project has reinforced my belief in data's potential to uncover insights and solve complex problems across industries.Currently, I'm applying these skills at the Rutgers Urban and Civic Informatics Lab, where I'm using spatial microsimulation to inform urban planning and policy decisions. This work exemplifies my commitment to using data science for societal benefit.I'm passionate about the interdisciplinary nature of data science and its power to challenge assumptions and spark innovation. Whether in finance, urban studies, or technology, I aim to use data as a tool for understanding and improving the systems that shape our world.I'm always eager to connect with like-minded professionals and explore new ways that data can drive progress and understanding.