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Fullstack Engineer with less than a year in MERN Stack & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-Stack MERN Stack & Data Science Developer with hands-on experience in building scalable web applications and machine learning solutions. Skilled in React.js, Node.js, MongoDB, Python, Machine Learning, Data Analysis, and visualization tools. Experienced in developing responsive web applications, RESTful APIs, predictive models, and data-driven dashboards. Passionate about solving real-world problems using both software engineering and data science technologies.
A.D. Patel Institute of Technology
Computer Engineering · Computer Engineering
N/A – Present
Nalanda Vidyalay School
HSC
N/A – Present
Shri Kumar Primary School
SSC
N/A – Present
KALEIDONEX
Full Stack Intern
September 1, 2024 – October 31, 2024
India
NETFLIX CLONE
June 24, 2026 – Present
Developed a full-stack Netflix clone using React, and The Movie Database (TMDB) API. Implemented user authentication with Auth, real-time database integration for user watchlists, and responsive UI with dynamic movie carousels using React hooks and styled-components. Integrated TMDB API to fetch movie/show data and trailers. Designed a scalable component architecture and deployed the application on Vercel for public access.
REAL ESTATE WEBSITE
June 24, 2026 – Present
Built a responsive real estate website using React, Node.js, and MongoDB, allowing users to browse, search, and filter property listings. Implemented user authentication, dynamic search filters, and Google Maps API integration for location-based property views. Designed a clean UI with property detail pages, image galleries, and contact forms. Developed a RESTful backend to manage listings, handle user inquiries, and support role-based access for agents and admins
Student Performance Prediction
June 24, 2026 – Present
Developed a Student Performance Prediction system using Machine Learning techniques to analyze and predict students' academic performance based on various factors. Used Python, Pandas, NumPy, and Scikit-learn for data preprocessing, model training, and evaluation. Applied algorithms like Linear Regression and Random Forest to improve prediction accuracy. Created data visualizations and performance analysis reports to gain meaningful insights from the dataset.
C# for.NET Development
Board Infinity Coursera
January 21, 2025 – Present
Full Stack Intern
KALEIDONEX
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including web development and a machine learning project, indicates a broad interest in technology. The target role of 'Fullstack Engineer' aligns well with the MERN stack projects. The candidate's profile suggests a proactive learning attitude, which is a positive cultural indicator. However, the limited professional experience (a 2-month internship) means there's less data to assess long-term cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists 'Problem Solving' and 'Teamwork' as soft skills. Project descriptions indicate an ability to work on multi-faceted projects, which suggests problem-solving in practice. The internship experience, though brief, also implies exposure to a team environment. However, without direct assessment data, the depth of these soft skills and operational fit cannot be fully evaluated.