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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE Street Address Yorba Linda Blvd, Fullerton,CA https://LINKEDIN LINK AVAILABLE https://pranay-ai.github.io/Pranay-Netha-Guda-Website/ EDUCATIONCalifornia State University, Fullerton May Street Address
Master of Science, Computer ScienceGPA: 3.Street Address /4.0Sreenidhi Institute of Science and Technology June 2022 Bachelor of Engineering in ElectronicsGPA: 8.12/10TECHNICAL SKILLS Languages: Python, C++, JavaScript, HTML, CSS, SQL Frameworks: React, TensorFlow, AWS, AWS Sagemaker, Redux, Axios, API, Bootstrap Databases: RDMS(SQL) Version Control: Git (GitHub) Technologies: Web Development, Artificial Intelligence, Cloud Computing, Machine Learning, Deep Learning, Front End Misc.: Data Structures and Algorithms, AWSEXPERIENCECalifornia State University, Fullerton, Fullerton, CA August 2023 - Present Teaching Associate (Department of Computer Science) January 2024 Emphasized hands-on learning by incorporating code walkthroughs, debugging exercises, and collaborative coding projects, leading to a demonstrated increase in student proficiency in C++ and Data Structures. Presented innovative teaching methods at departmental and regional conferences, contributing to the advancement of effective data structures education using C++Lab Assistant (Department of Computer Science) August 2023 - January 2024 Conducted and led various lab sessions for C++ programming, providing hands-on guidance to students in understanding and solving complex coding challenges Designed and created assignments and C++ programming projects tailored to boost students' problem-solving skills and reinforce key concepts in computer scienceTata Consultancy Services TCS, Hyderabad, India May 2021 - May 2022 Intern Led the design and development of a feature-rich, interactive web application for real-time vehicle diagnostics, utilizing HTML, CSS, JavaScript, and React. Enhanced user experience by implementing responsive web design principles, ensuring seamless functionality across various devices and platforms. Collaborated with backend developers to integrate RESTful APIs, significantly improving data retrieval efficiency and system scalability.PROJECTSFOOD ORDERING APP USING REACT March 2024 April 2024 React Frontend Development: Designed and implemented the user interface for a food ordering app using React, focusing on responsive design and interactive elements. Leveraged React hooks for effective state and lifecycle management. API Integration and State Management: Managed RESTful API communications for meal data retrieval and order processing, aligning frontend operations with a Node.js backend. Utilized advanced state management practices to ensure consistency and maintainability across components.React Todo List with Google Calendar Integration January 2024-March 2024 React Todo List Development: Engineered a dynamic Todo List application using React, enabling users to create and manage multiple lists with ease. Enhanced user productivity by incorporating seamless task synchronization with Google Calendar. API Integration and User Experience: Integrated Google Calendar API to synchronize Todo tasks, offering users a cohesive and organized view of their schedules. Demonstrated expertise in leveraging third-party APIs to enrich application functionality and user engagement.SENTIMENT ANALYSIS WEB APP USING AWS SAGEMAKER August 2023 - December 2023 Developed a sentiment analysis web application utilizing HTML, CSS, JavaScript, and React, enhancing user interaction and enabling real-time text sentiment analysis. Integrated the application with AWS SageMaker for backend processing. Designed and deployed a machine learning model using AWS. Constructed a RESTful API with AWS API Gateway, ensuring efficient data flow and seamless integration between the React frontend and the AWS-powered backend. Blog Summarization Using NLP February 2022 - June 2022 Developed a comprehensive web application integrating Django and Flask to create a robust API for a deep learning model, facilitating real-time blog content extraction and summarization. Employed the PEGASUS model, implemented with TensorFlow and Keras, to perform abstractive text summarization, delivering high-quality summaries that enhance content accessibility. Seamlessly integrated a React frontend, ensuring a dynamic and responsive user interface that effectively displays summarized content and interacts with the Django-Flask backend. |
