About

Tanya Sharma is a highly skilled and motivated individual with a passion for cybersecurity and machine learning. Currently pursuing her Master of Science in Cybersecurity at GeorgiaTech, Tanya is also working as a Graduate Research Assistant at the Intelligence for Advanced Nuclear (iFAN) Lab. Her primary research area is Adversarial Machine Learning, where she is exploring ways to improve the security of machine learning models against adversarial attacks. Prior to her current position, Tanya worked as a Software Development Engineer at McAfee, where she implemented dynamic user interface requirements in various sections of the McAfee® Unified Cloud Edge using Angular 8. She also served as a Research Intern at the Global Academic Internship Programme (GAIP), where she developed a Sentiment Analyzer by employing statistical and deep learning algorithms on a four lakh review dataset. Tanya holds a Bachelor of Technology in Computer Science and Engineering from PES University. She is highly proficient in several technologies, including Research Scientist, Software Engineer, ML, AngularJS, Deep Learning, Big Data, and Neural Networks. With 2.35 years of relevant experience, Tanya is a valuable asset to any team working in the field of cybersecurity and machine learning. Her expertise, coupled with her strong work ethic and dedication, make her a standout candidate for any role in this field.