Information Technology Machine Learning

Amrutha Seetharam

Tempe, Arizona *****

602-***-**** ********************@*****.***

EDUCATION DETAILS

www.linkedin.com/in/amruthaseetharam

Arizona State University (ASU) Jan 2024 – Present

Master of Information Technology, GPA: 4/4 Tempe, AZ, USA Relevant Courses: Principle of Computer & Information Technology Architecture, Advanced Information Systems Security, Information Systems Development, Analyzing Big Data, Advanced Database Management Systems, Data Visualization & Reporting for IT, Advanced Big Data Analytics/AI, Natural Lang Processing for IT, Human Factors in Cyber Security.

Jyothy Institute of Technology (JIT) Aug 2019 – Jun 2023 Bachelor of Engineering, Computer Science, GPA: 8.3/10 Bengaluru, Karnataka, India Relevant Courses: C Programming, Python Programming, Artificial Intelligence & Machine learning, Big Data analytics. TECHNICAL SKILLS

Languages/Databases: Python 3, C, Java, HTML 5, CSS 3, MySQL, MongoDB. Tools/Technologies/Frameworks: React.js, Node.js, Express.js, React.js, Bootstrap, TensorFlow, AWS, REST API, Docker, GIT, Microsoft SQL Server Management Studio. PROFESSIONAL EXPERIENCE

Salesforce Supported Virtual Internship – Software Developer Program Aug 2023 – Oct 2023 Salesforce Developer Intern Virtual (India)

- Completed hands-on training in Salesforce development, focusing on Apex programming and Lightning Web Components (LWC).

- Built and customized applications within the Salesforce platform, implementing data-driven solutions using SOQL/SOSL.

- Developed automated workflows and business processes using Flow and Process Builder.

- Gained expertise in Salesforce CRM and its ecosystem, enhancing customer relationship management solutions.

- Worked on real-world projects and completed Salesforce Superbadges to demonstrate proficiency. ACADEMIC PROJECTS

Digital Color Assistant Nov 2022 – May 2023

- Led the development of a Digital Color Assistant, an application that recommends optimal color palettes for home interiors and exteriors.

- Designed and trained a custom YOLO-based machine learning model, achieving 70% precision in color detection and recommendation.

- Integrated the ML model into a React-based frontend, enabling real-time image analysis and personalized color suggestions.

- Managed the entire project lifecycle, including planning, development, testing, and deployment, ensuring timely delivery.

- Facilitated seamless team collaboration, optimized system performance, and documented key findings for future enhancements. Technology Stack: YOLO, Python, TensorFlow, React.js, Node.js, Express.js, MongoDB. Student Welfare App Portal (SWAP) April 2022– Sept 2022

- Developed the Student Welfare App Portal for the Ministry of Education, Government of India, which allows students, parents, and teachers to anonymously report safety concerns.

- The app uses a voting system where complaints with more votes are escalated to district and state-level authorities.

- Designed with Flutter 2.10 and Android Studio 2021.1.1, the app ensures smooth cross-platform performance. Integrated Firebase API for real-time data storage, user authentication, and complaint tracking. Implemented features to maintain user anonymity and ensure secure, confidential communication. Technology Stack: Flutter 2.10, Android Studio 2021.1.1, Firebase API ACHIEVEMENTS

Winner, Smart India Hackathon 2022 (Senior Software Edition)

- Awarded 1,00,000 INR for developing the Student Welfare App Portal (SWAP), addressing school safety with anonymous reporting. Organized by the Ministry of Education, Government of India. Participant, National-Level Inter-Collegiate Gameathon-2021

- Competed in the Gameathon organized by BitsNBytes, Jyothy Institute of Technology, in association with Queppelin.

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