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sneha Sinha

MCA student · AI/ML, Python, Computer Vision & Robotics Data Engineering

Ahmedabad, Gujarat, India

@sneha_sinha1

0 followers

🎓 Master of Computer Applications at Indus University · Graduating 2027

About

MCA student with hands-on experience in Python, AI/ML, data analysis, REST APIs, and full-stack development. Interested in robotics data engineering, computer vision, and AI systems, with practical work in data-driven applications, preprocessing, and AI-integrated software.

Experience

  • Full Stack Developer

    Developed web applications using React.js, Node.js and JavaScript. Built REST APIs and integrated frontend applications with backend services. Worked with MongoDB and handled application data. Used Git/GitHub for version control and collaborative development. Debugged and tested APIs using Postman.

Education

Skills

Tools / apps / platforms

1 to 2 years 1 to 2 years A year or two of steady use.
Git GitHub MongoDB Postman
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Vercel VS Code

Projects

  • Computer Vision Mini Project
    Python | OpenCV

    Developed a basic computer-vision application for image/video processing. Implemented image preprocessing and object-detection concepts using OpenCV. Worked with frames and extracted visual information from images/video.

  • TrendPulse – AI/Data-Driven Trend Analyzer
    Python | Pandas | NumPy | Machine Learning | React

    Built a trend-analysis application for collecting and analyzing product-related data. Performed data preprocessing and transformation; used Pandas and NumPy for analysis. Created visual representations of trends and scores. Integrated processed data with a React-based frontend.

  • AI School Management System
    Python | AI/ML | MERN | REST APIs

    Developed an AI-integrated school management application using React, Node.js and REST APIs. Designed an AI chatbot for answering questions related to classes, courses and fees. Worked on AI-based question paper generation and attendance-related automation. Processed application data and designed workflows for generating useful reports. Focused on integrating AI capabilities with practical software systems.

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