I'm an Associate of the American Institute of Architects (AIA), a member of the National Council of Architectural Registration Boards (NCARB), and an Associate of the Urban Land Institute (ULI). My background in data analytics and architecture gives me a unique blend of technical skills and creative insight.Throughout my academic journey, I've earned advanced certifications in machine learning and data analytics, which have sharpened my abilities with cutting-edge technologies. I have extensive experience with machine learning techniques like transformer models (BERT, GPT), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and gradient descent models. These skills have been crucial in areas like architectural design, building performance optimization, portfolio performance, and automating asset evaluations in the real estate industry. I enjoy leveraging data-driven insights and computational modeling to make informed design decisions and enhance the built environment.I'm currently pursuing a master's degree in Real Estate at Cornell University. This program will deepen my understanding of the financial and investment aspects of real estate, helping me bridge the gap between technical and financial domains. I'm excited to gain new insights and make more impactful decisions in my career.