Cuddalore, Tamil Nadu, India
As a Computer Science and Engineering graduate from CK College of Engineering & Technology (CGPA: 7.88), I am currently working as a Packaged App Development Associate at Accenture, where I have been contributing to enterprise-level application development since November 2025. My focus lies in building scalable, secure, and production-ready systems using modern web technologies. At Accenture, I work within structured development environments involving modular architecture, API-driven design, and collaborative Agile workflows, strengthening my understanding of real-world software delivery standards beyond academic implementations. ✨ HealthChain 2.0 – Blockchain-Based EHR Platform Architected and developed a blockchain-powered Electronic Health Record system integrating smart contracts for secure and tamper-resistant medical data handling. Designed backend APIs, structured MongoDB schemas, and implemented authentication flows to ensure controlled data access and transparency. 🚀 Chucklebytes – MERN E-commerce Platform(intern) Developed a full-scale e-commerce application using MongoDB, Express.js, React.js, and Node.js. Implemented authentication mechanisms, global state management, search optimization, cart logic, and RESTful APIs following clean architecture principles. 💡 Diabetes & Heart Disease Prediction System Built a Django-based machine learning web application for predicting health risks. Integrated trained classification models into a scalable web interface and optimized data preprocessing workflows for improved execution efficiency. 🔍 Python Programming Intern – YBI Foundation(intern) Developed a Bank Churn Prediction model using machine learning techniques, achieving 85% accuracy through feature engineering and model tuning. 🎓 Leadership & Technical Involvement • Coordinator – App & Web Development Club, leading hands-on sessions on modern web technologies • School Pupil Leader - Organized Multiple inter & intro events. Technical Stack JavaScript (ES6+), React.js, SASS, Node.js, Express.js, MongoDB, JAVA, SQL, Solidity (Blockchain), Python, Django, Machine Learning, REST APIs, Git, GitHub, HTML, CSS. I specialize in building end-to-end systems — from frontend rendering optimization to backend architecture and secure data handling. With hands-on enterprise exposure and strong project foundations, I am focused on contributing to high-impact software systems that demand scalability, security, and clean architecture. 📩 Email: [email protected] 📞 Phone: +91 8760287239
Completed a 30-day virtual internship, mastering Python, data analysis, and machine learning through 13 modules and 35 chapters. Bank Customer Churn Prediction: Developed a predictive model using Logistic Regression, Random Forest, and Gradient Boosting. Tasks included data preprocessing, feature engineering, EDA, and deployment with Flask. Salary Prediction: Built a Linear Regression model to forecast salaries, focusing on data cleaning and feature selection. Disease Prediction: Created a Logistic Regression model for disease classification, performing data preprocessing, model tuning, and evaluation using precision and ROC-AUC. Proficient in Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.