About

Nancy Goyal is a highly skilled and motivated individual with a double major in Electrical and Electronics Engineering and Physics, and a minor in Machine Learning from IIT Kanpur. She has a strong background in ML, Mobile, CNN, Image Processing, and Software Engineering. Currently, she is working as an Analyst at Goldman Sachs, where she is responsible for developing and maintaining software applications for financial markets. With 2.77 years of relevant experience, Nancy has proven herself to be a valuable asset to any team she works with. Prior to joining Goldman Sachs, she worked as a Software Engineer Intern at Samsung, where she gained valuable experience in natural scene number detection and video quality assessment. During her time at Samsung, she implemented a CNN model to generate natural scene number recognition, making text readable by Tesseract. She also did a thorough literature survey on reference video quality assessment techniques and implemented the Multi-Scale Structural Similarity Index Measure algorithm to assess the quality of videos, producing the required optimal accuracy-speed trade-off. Nancy's educational background and experience have given her a strong foundation in electrical and electronics engineering, as well as machine learning and software engineering. Her ability to work collaboratively and think critically make her an ideal candidate for any team. She is a quick learner and has a passion for staying up-to-date with the latest technologies and trends in her field. Overall, Nancy's dedication, skills, and experience make her a valuable asset to any organization. She is committed to excellence and is always looking for new and innovative ways to solve complex problems.