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    "summary": "Highly adaptable and quick to learn, with a strong ability to grasp new technologies and concepts efficiently. Demonstrated expertise in analyzing and applying innovative solutions, excelling in dynamic environments that demand continuous learning and technical proficiency.",
    "location": "Mumbai, Maharashtra 400078"
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      "startDate": "2025-12",
      "endDate": "2026-02"
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      "institution": "Vasant Dada Patil College of Engineering",
      "degree": "Bachelor of Engineering",
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      "endDate": "2026-07",
      "score": "6.5"
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    {
      "institution": "Wamanrao College",
      "degree": "12th HSC",
      "field": "Science",
      "endDate": "2022-06",
      "score": "61%"
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      "institution": "Kendriya Vidyalaya Bhandup",
      "degree": "10th CBSE",
      "endDate": "2020-05",
      "score": "71.8%"
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  "languages": [
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      "language": "English",
      "fluency": "Fluent"
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      "name": "StockBro – AI Stock Market Analysis Dashboard, Next.js, TypeScript, Firebase, Google Gemini AI, Tailwind CSS",
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      "name": "Fake News Detection, Next.js, FastAPI, Python, Machine Learning, NLP, SQLite",
      "description": "This project is a web-based application that detects whether a news article is real or fake using Machine Learning and Natural Language Processing techniques. It uses models such as Naive Bayes, SVM, and Transformer-based algorithms with TF-IDF for text processing. The frontend is developed using Next.js, while FastAPI handles backend APIs to provide real-time prediction with a user-friendly interface."
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