
Full Stack Developer | MERN Stack
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Nvidia
Data Scientist
June 19, 2026 – Present
Mern-Todo
December 8, 2025 – December 8, 2025
A full-stack ToDo application built with the MERN stack and Tailwind CSS, demonstrating complete CRUD functionality, RESTful API integration, and a responsive modern UI using React and MongoDB Atlas.
View Projectreact-learning-projects
October 15, 2025 – November 20, 2025
react-learning-projects — GitHub repository
View Projectnft-sentiment-analysis
September 3, 2025 – September 3, 2025
Analyzes how market sentiment influences NFT pricing using data analytics and NLP. Includes sentiment analysis, correlation, and visualization. Presented at INDIACom-2025.
View Projectyelp-camp
August 20, 2025 – Present
🏕️ Campground management app using Node.js, Express, MongoDB, and EJS with CRUD, layouts, partials, and seeding utilities.
View Projectasync-errors
August 20, 2025 – August 25, 2025
A Node.js + Express web application with MongoDB (Mongoose) and EJS templates. Includes Farm and Product management, custom error handling, and seed scripts for testing. Demonstrates async error handling in Express with a clean project structure.
View ProjectAxCrypt
March 21, 2024 – March 21, 2024
AxCrypt is a user-friendly Python application designed to provide seamless encryption and decryption of data using the Advanced Encryption Standard (AES) algorithm. Whether you need to secure sensitive information or decode encrypted data, this app offers a straightforward solution with robust encryption techniques.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on web development (JavaScript, HTML, CSS, Node.js, React, MERN stack) with only one project directly related to the 'Data Scientist' target role ('nft-sentiment-analysis'). This indicates a potential misalignment with the target role's core requirements, suggesting a need for more dedicated data science projects or experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.