About

Salma Khayum is a highly motivated and ambitious individual with over 5 years of experience in the IT industry. She is currently working as a Software Development Engineer at Amazon, where she is responsible for developing and optimizing solutions to real-world problems. Salma is a graduate student pursuing her Master's degree in Computer Science with a concentration in Data Science from the University of North Carolina at Charlotte. During her academic and professional career, she has gained expertise in Python, MSSQL, HTML5, CSS3, JavaScript, PL/SQL, and other relevant technologies. Salma has worked as a Systems Engineer at TATA Consultancy Services for about 3.5 years, where she gained experience in the healthcare, life science, and internal services verticals of the industry. She has also worked as an Application Developer at Bayer and as a Data Engineer Intern at Bayer CropScience Vegetable Seeds. Salma's academic and professional projects have given her exposure to various aspects of software engineering, natural language processing, data engineering, algorithms and data structures, machine learning, and data science. She is passionate about learning and solving business problems with data. Salma's education history includes a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Jawaharlal Nehru National College of Engineering and a Master's degree in Computer Science from the University of North Carolina at Charlotte. Salma's tech stack includes software engineering, data science, SQL, data engineering, NLP, ML, Python, JavaScript, MSSQL, CI/CD, microservices, and mobile technologies. With her relevant experience and expertise, Salma is a valuable asset to any organization she works with.