About

Vaishnavi Kannan is a highly skilled Software Developer with a keen interest in Software Development, Machine Learning, Pattern Recognition, Predictive Analysis, and Data Analytics. With almost four years of relevant experience, she has worked on various projects that have honed her skills in these areas. Currently, Vaishnavi works as a Software Developer at Microsoft, where she is responsible for developing software solutions that meet the needs of the company's clients. Her expertise in Software Engineering and Machine Learning has been instrumental in her success in this role. Prior to joining Microsoft, Vaishnavi worked as a Machine Learning Intern at Homewise, where she developed a machine learning comparable analysis tool for real estate. She also built an object recognition model for specific real estate features using MLS Images and AWS Rekognition. This project helped her to gain valuable experience in Machine Learning and Pattern Recognition. Before her role at Homewise, Vaishnavi worked as an Associate Consultant at EY. In this role, she worked with the IT Risk and Assurance team to evaluate risk, governance, and regulatory compliance initiatives for IT functions. She also identified, configured, and integrated the technology that helped these initiatives work effectively. Vaishnavi has a Master of Science degree in Computer Science from the University at Buffalo, which she completed in 2019. She also has a Bachelor of Technology degree in Information Technology from Delhi College of Engineering, which she completed in 2016. Her education has provided her with a solid foundation in the field of Computer Science and has helped her to develop a deep understanding of the latest technologies and trends in the industry. Vaishnavi's Tech Stack includes Software Engineering, Machine Learning, and AWS. Her expertise in these areas has been instrumental in her success as a Software Developer. Overall, Vaishnavi is a highly skilled and motivated individual with a passion for technology and a desire to continue learning and growing in her field.