About

Vaibhav Vishal is a highly skilled Software Engineer with over 5 years of relevant experience in the field. He is currently working as a Software Engineer - Data at the University of Southern California - Marshall School of Business, where he is responsible for implementing Machine Learning and AI algorithms using tools such as Salesforce and Google Analytics for the Office of Executive Education. Vaibhav is a Python Developer and Stanford Certified Machine Learning expert, with a strong background in Software Engineering. He has worked with various companies in the past, including Genpact, where he served as a Senior Operations Associate (AI Summer Intern), and USC Suzanne Dworak-Peck School of Social Work, where he worked as a Data Scientist Research Assistant. At Genpact, Vaibhav designed a self-learning model for an Anti Money Laundering project case using Machine Learning algorithms, while at USC Suzanne Dworak-Peck School of Social Work, he developed R code for analysis of survey datasets, tested and debugged backend applications for Android and Desktop applications, and maintained project databases on Open Science Framework. Vaibhav holds a Master's Degree in Computer Science from the University of Southern California and a Bachelor's Degree in Information Science and Engineering from Dayanand Sagar College of Engineering. He has a strong TechStack that includes Software Engineering, AI, ML, Salesforce, Python, and Backend development. Vaibhav is a highly motivated individual with excellent problem-solving skills and a passion for innovation. He is always looking for new challenges and opportunities to learn and grow.