Manjusha Muppala

Assisted over 200 students in database management systems, data visualization (Tableau), and business analytics, providing hands-on guidance in SQL, Python, and machine learning techniques. This support improved student performance by 12%. Additionally, supported course development and refined learning materials to enhance student comprehension.

Conducted research on Machine Learning and Neural Networks for Harmful Algal Bloom analysis, leveraging data from over 400 research papers under the guidance of the Dean of Research. Implemented deep learning models to improve prediction accuracy and applied distributed systems concepts to manage and analyze large datasets efficiently.

Designed and developed a full-stack Student Project Management System using AngularJS, TypeScript, Node.js, and MongoDB, enabling real-time tracking and updates of academic projects. This system reduced manual data entry by 50% and improved administrative efficiency. Integrated role-based authentication and dynamic dashboards, ensuring security and scalability for over 100 active users.

Activities and societies: Teaching Assistant: Assisted 200+ students in database management systems, data visualization (Tableau), and business analytics. Provided hands-on guidance in SQL, Python, and machine learning techniques, improving student performance by 12%. Supported course development and refined learning materials to enhance student comprehension, which demonstrates effective communication and a commitment to mentoring.

Pursuing a Master's degree in Computer Science, with coursework covering advanced topics such as Graduate Algorithms, Computer Architecture, and Operating Systems. Specialized in Visualization for Data Science, Deep Learning for Image Analysis, and Software and System Security.

Grade: 9.44/10

Earned a Minor Degree in Data Sciences, focusing on practical skills in R programming, Data Wrangling, and Visualization. Applied knowledge to Data Science applications and Predictive Analytics.