About

Subhash Chandra Bose Vuppala is an experienced member in the field of data analytics and software development. He has a strong background in working with databases, machine learning, deep learning, and programming. Currently pursuing a master's degree in computer science at Arizona State University, Subhash has taken courses in statistical machine learning, data visualization, distributed database systems, foundations of algorithms, fundamentals of statistical learning, and data mining. Subhash has worked as a graduate student assistant at the W. P. Carey School of Business, where he has interacted with students and supported them during office hours on conceptual clarification, projects, and tests. He has provided weekly project progress and assignment evaluation, course guidance, and feedback for 130 students in data mining. Subhash has also worked as a research intern at the Indian Institute of Technology Kharagpur, where he worked with the Tata Steel Plant dataset to create a multi-classification model that classified hazards and projected their future trends. He used data analytical tools and machine learning algorithms such as SVM, Naive Bayes, and logistic regression to reach an accuracy of 85.67 percent for the classification model. He also developed a responsive dashboard with graphical visualizations to provide additional information and forecast future threats. Subhash's education history includes a bachelor's degree in computer science engineering and production engineering from NIT Tiruchirappalli and an intermediate degree from Jupiter Junior College. He is proficient in research science, software engineering, ML, Naive Bayes, SVM, and deep learning. Subhash is open to internship opportunities and always looking to get involved in interesting projects. He is a motivated individual with a strong work ethic and a passion for technology.