As a passionate Software Engineer Developer at S&P Global, I thrive on tackling new challenges that elevate my skills. My journey at S&P Global has involved working on cutting-edge projects, including leveraging generative AI (GenAI) by utilizing its API to design prompts tailored to user requirements and analyze data effectively. I've also implemented various machine learning algorithms to solve complex problems.With a solid foundation in machine learning, deep learning, and computer vision from my undergraduate studies, I have hands-on experience with models like CNN, ANN, LSTM, and Transformers, along with advanced techniques such as transfer learning and feature extraction. I'm proficient in Python language, and I've worked with tools like AWS (QuickSight, SageMaker, Lambda, EC2), Microsoft Excel, and Android Studio. My ultimate goal is to transition into a Data Scientist role, where I can continue to leverage my love for data to drive impactful solutions.