I'm Jaya Vignesh

Bachelor of Technology (B.Tech) – Computer Science

2019 - 2023

Sri Manakula Vinayagar Engineering College, Puducherry

CGPA: 7.76

Relevant Coursework:

Higher Secondary (HSC) – Computer Science

2018 - 2019

Amalorpavam Higher Secondary School, Puducherry

Specialization: Computer Science

Score: 65.1%

Secondary School (SSLC)

2016 - 2017

Amalorpavam Higher Secondary School, Puducherry

Score: 89.2%

Movie Recommender System

Machine Learning

Entertainment 🎬

• Designed the interface to include input options for user preferences such as genre, ratings, actors, etc. 🎬
• Implemented functionality to capture user input and trigger the recommendation process. 🖱️
• Ensured the interface is intuitive and user-friendly for seamless interaction. 💻
• Utilized the Fuzzy C-Means clustering algorithm to group movies based on their attributes. 🎥
• Defined appropriate features for clustering, such as genre, ratings, or other relevant characteristics. 📊
• Configured the algorithm parameters, such as the number of clusters and fuzziness coefficient, to achieve optimal results. ⚙️
• Executed the clustering process on the movie dataset to generate clusters representing similar movies. 🔄

Clinical Decision Support System

Machine Learning

Healthcare and Medicine ⚕️

• Implemented dataset loading of 132 parameters from Kaggle. 📊
• Utilized PyPlot to visualize the dataset, providing insights into disease count distributions. 📈
• Applied feature selection techniques, including Kendall's coefficient correlation and Chi-Square test. 🔍
• Leveraged these methods to identify and select the most pertinent symptoms for disease prediction. 🧠
• Constructed a Convolutional Neural Network (CNN) model using Keras. 🧪
• Trained the CNN model on the chosen features extracted from the dataset to predict diseases based on symptoms. 🏋️‍♂️
• Assessed the performance of the implemented CNN model using accuracy scores. 📊
• Visualized the model's performance throughout training epochs with accuracy and loss plots. 📉
• Generated a confusion matrix to offer a comprehensive evaluation of the model's classification proficiency. 🤔

Hospital Management System

Web-based Application

Facility Management 🏥

• The system efficiently handles medical records, ensuring accuracy and accessibility for healthcare providers. 📋
• It provides real-time information on personnel (staff) and patient availability within the hospital, aiding in scheduling and resource allocation. ⏰
• Medication inventory tracking is facilitated, ensuring that adequate supplies are maintained and replenished as needed. 💊
• Separate panels are provided for doctors/employees and administrators, each with tailored functionalities to manage different aspects of hospital operations. 👨‍⚕️
• Doctors can manage patient records, pharmacy operations, and lab reports efficiently within the system, streamlining healthcare processes. 💉
• Users have access to comprehensive patient information and reports, facilitating informed decision-making and quality care provision. 📈
• Users can update their profiles within the system, ensuring accurate and up-to-date information for efficient hospital management. 🔒

Developer

2024 - Present

Tata Consultancy Services (TCS), India

• Developed and optimized RESTful APIs using Java, JAX-RS, ensuring seamless communication between microservices.
• Designed and implemented efficient database queries, reducing execution time and enhancing performance.
• Modified API responses as per frontend requirements, improving UI responsiveness and data efficiency.
• Integrated MySQL databases, leveraging indexing and query tuning techniques.
• Implemented unit and integration tests using JUnit & Mockito to enhance code reliability.
• Optimized backend architecture for scalability, maintainability, and high availability.
• Collaborated with cross-functional teams to analyze requirements and deliver efficient, secure solutions.
• Managed backend services, preventing outages and ensuring high availability.
• Monitored application logs, proactively identifying and fixing errors.