MERN stack Developer | Full Stack Developer | Data Analyst
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Full Stack Developer with hands-on experience in building scalable web applications using the MERN Stack (MongoDB, Express.js, React.js, Node.js). Skilled in developing responsive user interfaces, RESTful APIs, database management, and deploying applications. Passionate about problem-solving, software development, and creating user-centric digital solutions. Strong foundation in Networking, Object-Oriented Programming, and web technologies.
Ramco Institute of Technology
B.E. Computer Science Engineering · Computer Science Engineering
August 1, 2022 – June 30, 2026
Supraja Technologies
Ethical Hacking Intern
July 1, 2025 – October 1, 2025
India
Cognifyz Technologies
Frontend Developer Intern
February 1, 2025 – March 1, 2025
India
Smart Network Monitoring and Traffic Analysis System
June 1, 2026 – June 4, 2026
Designed and developed a real-time network monitoring system to analyze network traffic, monitor bandwidth consumption, and track connected devices. Built an interactive dashboard for visualizing network performance and implemented traffic statistics collection to support network analysis and troubleshooting. Tested and debugged monitoring modules to improve data accuracy and system reliability. Collaborated on feature enhancements and troubleshooting activities during development.
View ProjectE-Commerce Sales and Customer Insights Dashboard
January 1, 2026 – Present
Built a real-time data analytics dashboard using Flask and Chart.js, processing live network traffic data and visualizing key performance metrics for trend and anomaly detection. Designed a multithreaded port scanner integrated with REST API endpoints to automate data collection, transformation, and reporting at scale. Performed data cleaning and statistical analysis on traffic logs to identify usage patterns, generate insights, and support data-driven decision-making.
Travel Planning Web Application – MERN Stack
January 1, 2025 – Present
Developed an end-to-end e-commerce sales analytics solution using Python, SQL, and Power BI to process and visualize large-scale sales and customer datasets. Implemented data preprocessing, transformation, and aggregation techniques to improve data quality and generate actionable business insights. Created interactive dashboards and automated reporting workflows to track revenue, product performance, customer retention, and regional sales metrics.
Cloud Computing – NPTEL Elite Silver
NPTEL
June 1, 2026 – Present
Introduction to Cyber Security
IBM Certified
June 1, 2026 – Present
Python Essentials 1
Cisco
June 1, 2026 – Present
Introduction to Machine Learning
Coursera
June 1, 2026 – Present
Introduction to Machine Learning (Python and scikit-learn)
Great Learning
June 1, 2026 – Present
The candidate scored 77% on the MERN: Intern test, demonstrating a solid grasp of the core technologies required for the MERN stack, including JavaScript, React, Node.js, and MongoDB. This indicates a good foundation for a React Frontend Engineer role, with some areas for further refinement.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects and internship experiences show a diverse interest in full-stack development, network monitoring, and even ethical hacking. While the target role is React Frontend Engineer, the breadth of experience suggests adaptability and a willingness to learn across different domains. The 'Travel Planning Web Application' project directly aligns with the target role's requirements for frontend development.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with cross-functional teams and a focus on user experience, suggesting good teamwork and user-centric design thinking. The psychometric test score of 337/500 indicates average logical reasoning, work attitude, stress handling, and team collaboration, which could be an area for development.