JUDITH PACIFICA

Enthusiastic and detail-oriented postgraduate student with a strong foundation in cloud computing, front-end and back-end development, and data analysis.

Proficient in developing interactive web applications using JavaScript, HTML, CSS, and Spring Boot, with a focus on enhancing user experience.

Skilled in utilizing cloud platforms such as AWS (EC2, Lambda) for deploying scalable applications.

Basic knowledge of Artificial Intelligence, with an interest in integrating AI techniques into web and cloud solutions.

AWS Cloud Practitioner Essentials – View Credentials

Postman API Fundamentals – View Credentials

Google Data Analytics, Coursera – View Credentials

Tata Data Visualization, Coursera – View Credentials

Best Outgoing Student of the Year (2019–2022)

Awarded for Leadership in Project Management.

• I enjoy observing people and families, listening to music, worshipping God, and reading books related to finance and personal growth. These hobbies keep me grounded and motivated as I continue to explore new challenges and opportunities in my career and personal life.

1..Invigilator and Staff Allocation System

Technologies Used: VS Code, NH3, HTML, CSS, JavaScript, Spring Boot, SQL Workbench Designed and developed a system to efficiently allocate invigilators and staff based on scheduling requirements. Streamlined allocation processes and reduced manual intervention using an interactive front-end interface and robust back-end logic.

2..AI Healthcare Resource Allocation Management

Technologies Used: Artificial Intelligence, Python (NumPy, Pandas), Spring Boot, SQL Workbench Developed an AI-based solution to optimize the allocation of healthcare resources such as beds, medical staff, and equipment. Implemented predictive algorithms to analyse trends and ensure efficient resource utilization in real-time.

3..Cloud-Based E-Learning Platform

Description: Build an interactive e-learning platform that allows users to access courses, take quizzes, and track progress online.

Technologies Used: Frontend: HTML, CSS, JavaScript, React Backend: Node.js, Express.js Database: MongoDB, Firebase Realtime Database Cloud Services: AWS S3 (for storing course content), AWS Lambda (for executing backend code), Amazon RDS (for storing user data), Firebase Authentication.

4..Cloud-Based Farm Management by Integrating IoT-( In Process).