Sujay Vittal's Email & Phone Number

💼 Past Experience

My past experiences include working in software development, data analysis, mobile development and artificial intelligence. My current position at GeniusMesh (Georgia) and Unisys Global Services India have given me the opportunity to work with a wide range of technologies and here I have learned iOS and TensorFlow development. In my time at GeniusMesh, I have been working on collaborative filtering algorithms and learning vector quantization to predict career path. Additionally, I amresponsible for training undergraduates/seniors with basic computer science skills using Android as a platform. Additionally, I have been playing an important role in the community of GDG Bangalore, where I work as a Placement Coordinator and also as a Tech Speaker. Lastly, I am an active TensorFlow trainer and have held study jams for working professionals and students.

🎓 Education

Sujay Vittal has a degree in Computer Science from PES Institute of Technology, and a graduate degree in Extension Studies from Harvard University. In 2018, Sujay Vittal obtained a Master's degree, Computer Science, from Purdue University.Sujay Vittal's past education has given him experience in the fields of Computer Science, Extension Studies, and Business. Sujay Vittal is currently a graduate student at Purdue University, studying to obtain a Master's degree in Computer [email protected]

💡 Technical & Interpersonal Skills

Building a model of unstable income inequalityThe idea behind this paper is to build a model of unstable income inequality in the United States. The paper uses a dataset that has been specially gathered by the author and his team of researchers. The dataset contains data on income, poverty, and asset inequality inhumities in the United States over the entire period 2013-2020. The purpose of this paper is twofold. The first is to understand how income, poverty, and asset inequality changes over time. The second is to try to come up with ways to address these problems.One of the ways in which we can try to address instability in income inequality is to try to predict how it will change in the future. Our model will take into account data on income and poverty, as well as asset inequality. We will also be using a model that will approach stability by re-estimating the model for different periods of time.The goal of this paper is to advance our understanding of how income, poverty, and asset inequality changes over time, and to try to come up with ways to address it. Our model will be able to provide a more accurate prediction of how these problems will change in the future.