{
  "meta": {
    "source": "prasadgade.dev",
    "generated": "2026-04-19",
    "version": "1.0",
    "description": "Structured resume of Prasad Gade based on the public resume"
  },
  "data": {
    "basics": {
      "name": "Prasad Gade",
      "label": "Data Scientist & Computer Engineer",
      "email": "prasadgade4405@gmail.com",
      "phone": "+91 8446240041",
      "url": "https://prasadgade.dev",
      "location": {
        "city": "Mumbai",
        "country": "India"
      },
      "summary": "Data Scientist and Computer Engineer from Mumbai, India. B.Tech student at Sardar Patel Institute of Technology (CGPA 9.26/10). Builds data pipelines, ML models, and interactive web applications.",
      "profiles": [
        { "network": "GitHub", "username": "prasad-gade05", "url": "https://github.com/prasad-gade05" },
        { "network": "LinkedIn", "username": "prasad-gade05", "url": "https://www.linkedin.com/in/prasad-gade05/" },
        { "network": "Kaggle", "username": "prasadgade", "url": "https://kaggle.com/prasadgade" }
      ]
    },
    "education": [
      {
        "institution": "Bhartiya Vidya Bhavan's Sardar Patel Institute of Technology",
        "area": "Computer Engineering",
        "studyType": "B.Tech",
        "minor": "Management from SPJIMR (S. P. Jain Institute of Management & Research)",
        "gpa": "9.26/10.0",
        "location": "Mumbai, India",
        "endDate": "Expected June 2027"
      }
    ],
    "work": [
      {
        "company": "R3 Systems India Pvt. Ltd.",
        "position": "Data Analyst Intern",
        "location": "Nashik, India",
        "startDate": "2023-06",
        "endDate": "2023-07",
        "highlights": [
          "Learned Data Analysis and Business Intelligence using Power BI",
          "Delivered a sales dashboard for North Wind Traders, improving data visibility by 70%"
        ],
        "certificate": "https://drive.google.com/file/d/1EOCFG5pNmzG_RJHsZO940SjWBfEEto5x/view?usp=sharing"
      }
    ],
    "projects": [
      {
        "name": "UPI Analytics Platform",
        "description": "Data Engineering & Analytics Dashboard",
        "date": "March 2026",
        "highlights": [
          "Processed 9,026 JSON files from 3 sources across 788 districts/42 months using a 4-stage medallion pipeline into a DuckDB star schema",
          "Quantified market duopoly via HHI, measured geographic inequality using Gini coefficients, segmented adoption tiers with K-Means across 788 districts",
          "Forecasted UPI volumes using Prophet/ARIMA; delivered 68 visualizations across 11-tab Streamlit + Power BI dashboards, validated by 83 tests"
        ],
        "tech": ["Python", "DuckDB", "Pandas", "Plotly", "Streamlit", "Power BI", "Prophet", "ARIMA", "Scikit-learn", "K-Means", "BeautifulSoup4", "PyArrow", "GitHub Actions"],
        "url": "https://upi-analytics.streamlit.app/"
      },
      {
        "name": "Lex Simulacra",
        "description": "AI-Powered Legal Courtroom Simulator with Multi-Agent RAG",
        "date": "November 2025",
        "highlights": [
          "Built an 8-agent legal simulation achieving 99% citation accuracy via a LangGraph workflow",
          "Reduced legal research time by 75% across 100K+ documents with RAG pipeline and BM25 re-ranking",
          "Achieved 3.2x context relevance gain and 60% engagement boost via context compression and hallucination detection"
        ],
        "tech": ["Python", "LangChain", "LangGraph", "FastAPI", "Streamlit", "ChromaDB", "Sentence-Transformers", "Ollama LLM", "Kanoon API", "BM25", "NLTK", "Scikit-learn"],
        "url": "https://github.com/prasad-gade05/Law_Courtroom_Simulator"
      },
      {
        "name": "Comparative Analysis of ML/DL Models for Intrusion Detection",
        "description": "Benchmarking ML/DL models on TII-SSRC-23 dataset",
        "date": "October 2025",
        "highlights": [
          "Achieved 99.99% recall and 100% precision benchmarking 6 models on 8.6M-sample dataset",
          "Demonstrated tree models were 12.8x faster with 20x inference throughput",
          "Reduced classification errors by 30% via hybrid SMOTE-undersampling"
        ],
        "tech": ["Python", "Scikit-learn", "XGBoost", "PyTorch", "TensorFlow", "SHAP", "Pandas", "NumPy", "Imbalanced-learn"],
        "url": "https://github.com/prasad-gade05/IDS_on_TII-SSRC-23"
      }
    ],
    "skills": {
      "Languages": ["Python", "C", "C++", "Java", "JavaScript"],
      "Frameworks": ["Flask", "Django"],
      "Data Science / ML": ["Pandas", "NumPy", "Matplotlib", "Seaborn", "PyTorch", "Scikit-Learn", "TensorFlow", "Hugging Face", "Keras", "OpenCV"],
      "Databases / DevOps": ["SQL", "MongoDB", "Firebase", "Git", "GitHub"],
      "Business Intelligence": ["Power BI"],
      "Soft Skills": ["Leadership", "Time Management", "Public Speaking", "Writing", "Communication"]
    },
    "certifications": [
      {
        "name": "Data Science Job Simulation",
        "organization": "Boston Consulting Group (Forage)",
        "date": "January 2025",
        "url": "https://drive.google.com/file/d/1gpK6qqplU6bqYPZBVsR0iIuJwvS9_HoX/view?usp=drive_link"
      },
      {
        "name": "Developer and Technology Job Simulation",
        "organization": "Accenture UK (Forage)",
        "date": "January 2025",
        "url": "https://drive.google.com/file/d/1pOHKmObTLFRdyLv6xlPkTdhbIK2NTT4Y/view?usp=drive_link"
      },
      {
        "name": "Introduction to Cloud Computing on AWS",
        "organization": "Udemy",
        "date": "July 2024",
        "url": "https://drive.google.com/file/d/1ax32PpCzf4mP2hFectfl5lubdnKU5FV6/view?usp=drive_link"
      },
      {
        "name": "Java Training",
        "organization": "IIT Bombay",
        "date": "March 2024",
        "url": "https://drive.google.com/file/d/1i7k6dmtUvIENZHQk_xJkmoKe2Lyhjnpv/view?usp=drive_link"
      },
      {
        "name": "The World of Computer Networking",
        "organization": "Udemy",
        "date": "June 2024",
        "url": "https://drive.google.com/file/d/1yzSMpeOIgKBUel5RJ9TANkUIbMajd_FE/view?usp=drive_link"
      }
    ],
    "achievements": [
      {
        "title": "Winner — Tech Horizon National Hackathon",
        "description": "Secured 1st place out of 80+ national teams in a 36-hour hackathon by designing a full-stack donation platform (KindHearts).",
        "date": "March 2025",
        "tech": ["React", "TypeScript", "MongoDB", "Vite", "Tailwind CSS"],
        "url": "https://github.com/prasad-gade05/KindHearts-Multi-Role-Donation-Management-Platform",
        "certificate": "https://drive.google.com/file/d/19EXpm1wVqM35qLiHvbcFzmwwwEiFSr_4/view?usp=sharing"
      }
    ],
    "resume_pdf": "https://prasadgade.dev/Prasad_Gade_Resume.pdf"
  }
}