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    "name": "M.V. Raghunandan",
    "label": "Research And Data Analytics Intern",
    "summary": "Computer Science undergraduate specializing in backend development and machine learning. Currently working as a Research And Data Analytics Intern at Indian Venture Labs, gaining experience in AI automation work flows and data analytics. Seeking tech internships that leverage skills in Python and API development.",
    "location": "Hyderabad, Telangana - 500084",
    "url": "https://github.com/raghu-dev174",
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "raghunandan-maddula-726440334",
        "url": "https://linkedin.com/in/raghunandan-maddula-726440334"
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  "work": [
    {
      "company": "Indian Venture Labs",
      "position": "Research And Data Analytics Intern",
      "startDate": "2026-07",
      "current": true,
      "highlights": [
        "Researched emerging AI tools, startups, and market trends to support 3 strategic initiatives",
        "Developed AI automation workflows using n8n, OpenAI, and Gemini APIs, leading to improved project delivery timelines",
        "Automated content generation and data processing pipelines, reducing manual effort by 80%",
        "Performed data analysis and created reports that enhanced decision-making efficiency",
        "Worked with APIs, databases, and workflow integrations to build scalable automation solutions, improving system performance significantly"
      ]
    }
  ],
  "education": [
    {
      "institution": "Woxsen University",
      "degree": "Bachelor of Technology",
      "startDate": "2024-04",
      "current": true
    }
  ],
  "skills": [
    "Python",
    "Java",
    "FastAPI",
    "REST APIs",
    "Node.js",
    "Scikit-learn",
    "Git",
    "GitHub",
    "Postman",
    "MySQL"
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      "language": "English",
      "fluency": "Native"
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    {
      "language": "Hindi",
      "fluency": "Intermediate"
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      "language": "Telugu",
      "fluency": "Native"
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  "projects": [
    {
      "name": "Predictive Housing price model using Machine Learning",
      "description": "Built regression models including Linear Regression and Random Forest to predict housing prices. Evaluated models using MAE, MSE and R metrics. Performed Preprocessing and feature correlation analysis using a heatmap.",
      "keywords": [
        "Python",
        "Pandas",
        "NumPy",
        "Scikit-Learn",
        "Matplotlib"
      ]
    },
    {
      "name": "Inventory Management Backend API",
      "description": "Built a backend REST API to manage product inventory with CRUD operations. Implemented endpoints for product creation, updates, deletion, and stock tracking. Designed structured JSON responses and API routes following REST Architecture. Tested API endpoints using Postman and implemented error handling for invalid requests.",
      "keywords": [
        "Python",
        "FastAPI",
        "REST API",
        "JSON"
      ]
    },
    {
      "name": "Data Visualization Dashboard for Traffic Analysis",
      "description": "Developed a data handling dashboard to visualize traffic patterns and congestion trends. Processed and analyzed traffic datasets to extract insights on peak traffic hours. Created visualizations including line charts, heatmaps, and distribution plots. Improved interpretability of large datasets through interactive visual analysis.",
      "keywords": [
        "Python",
        "Pandas",
        "Matplotlib",
        "Seaborn"
      ]
    }
  ],
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    "yearsOfExperience": 0,
    "seniority": "entry",
    "highestEducation": "Bachelor's"
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