{
  "meta": {
    "source": "prasadgade.dev",
    "generated": "2026-04-20",
    "version": "2.0",
    "variant": "master",
    "description": "Detailed master resume of Prasad Gade for agent consumption"
  },
  "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), published researcher, and hackathon winner. Builds data pipelines, ML systems, dashboards, 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" },
        { "network": "Hugging Face", "username": "prasad-gade05", "url": "https://huggingface.co/prasad-gade05" }
      ]
    },
    "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"
      },
      {
        "institution": "K. K. Wagh Polytechnic",
        "area": "Computer Technology",
        "studyType": "Diploma",
        "grade": "96.51%",
        "location": "Nashik, India",
        "startDate": "2021-08",
        "endDate": "2024-06"
      }
    ],
    "work": [
      {
        "company": "Department of Computer Engineering, SPIT",
        "position": "Undergraduate Research & Teaching Assistant",
        "location": "Mumbai, India",
        "startDate": "2025-02",
        "endDate": "Present",
        "highlights": [
          "Performed statistical analysis on student performance data and course feedback to generate reports for faculty",
          "Accelerated publication workflows by conducting literature reviews and migrating manuscripts from Word to LaTeX",
          "Created academic posters that translated technical research into accessible visual formats"
        ],
        "certificates": [
          "https://drive.google.com/file/d/1ONZfT7_F0Yyn33lC7b8z9hD7ZCoUgVBa/view?usp=sharing",
          "https://drive.google.com/file/d/1-r042D5BRYzXpcAFEzDLwKD053YxiKcD/view?usp=sharing"
        ]
      },
      {
        "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": "IPL Analytics Platform",
        "description": "Interactive Cricket Data Dashboard",
        "date": "March 2026",
        "highlights": [
          "Engineered a 3-stage data pipeline processing 278,205 ball-by-ball records across 18 IPL seasons (2008-2025), producing 90 derived features and 15 aggregate parquet files",
          "Built 14 interactive dashboard pages with 58 preset SQL queries, a custom query builder supporting 9 entity types, and one-click chart generation for 1,169 matches and 703 players",
          "Achieved zero data mismatches across 703 batters and 550 bowlers by fixing a critical aggregation bug and validating integrity with 25 automated tests"
        ],
        "tech": ["Python", "Streamlit", "DuckDB", "Plotly", "Pandas", "NumPy", "PyArrow", "Apache Parquet", "SQL", "pytest"],
        "github": "https://github.com/prasad-gade05/IPL_Analysis",
        "demo": "https://analytics-ipl.streamlit.app/",
        "dataset": "https://huggingface.co/datasets/prasad-gade05/ipl-enriched-2008-2025",
        "kaggle_dataset": "https://www.kaggle.com/datasets/prasadgade/ipl-2008-2025-enriched-dataset"
      },
      {
        "name": "UPI Analytics Platform",
        "description": "Data Engineering & Analytics Dashboard",
        "date": "March 2026",
        "highlights": [
          "Processed 9,026 JSON files from 3 sources across 788 districts and 42 months using a 4-stage medallion pipeline into a DuckDB star schema",
          "Quantified market duopoly via HHI, measured geographic inequality using Gini coefficients, and segmented adoption tiers with K-Means",
          "Forecasted UPI volumes using Prophet and ARIMA; delivered 68 visualizations across Streamlit and 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"],
        "github": "https://github.com/prasad-gade05/UPI_DS_Project",
        "demo": "https://upi-analytics.streamlit.app/",
        "dataset": "https://huggingface.co/datasets/prasad-gade05/india-upi-ecosystem-2018-2025",
        "kaggle_dataset": "https://www.kaggle.com/datasets/prasadgade/india-upi-ecosystem-2018-2025"
      },
      {
        "name": "Lex Simulacra",
        "description": "AI Legal Courtroom Simulator",
        "date": "November 2025",
        "highlights": [
          "Built an 8-agent legal simulation achieving 99% citation accuracy via a LangGraph workflow with state management and iterative debate",
          "Reduced legal research time by 75% across 100K+ documents with BM25 reranking and ChromaDB vector indexing",
          "Achieved 3.2x context relevance gain and 60% engagement boost via context compression, hallucination detection, and real-time Streamlit UI with FastAPI SSE"
        ],
        "tech": ["Python", "LangChain", "LangGraph", "FastAPI", "Streamlit", "ChromaDB", "Sentence-Transformers", "Ollama LLM", "Kanoon API", "BM25", "NLTK", "Scikit-learn"],
        "github": "https://github.com/prasad-gade05/Law_Courtroom_Simulator",
        "demo": null
      },
      {
        "name": "Intrusion Detection",
        "description": "TII-SSRC-23 Analysis",
        "date": "October 2025",
        "highlights": [
          "Achieved 99.99% recall and 100% precision by benchmarking 6 models on the 8.6M-sample TII-SSRC-23 dataset",
          "Demonstrated tree models were 12.8x faster with 20x inference throughput and full SHAP interpretability",
          "Reduced classification errors by 30% via hybrid SMOTE-undersampling for extreme class imbalance"
        ],
        "tech": ["Python", "Scikit-learn", "XGBoost", "PyTorch", "TensorFlow", "SHAP", "Pandas", "NumPy", "Imbalanced-learn"],
        "github": "https://github.com/prasad-gade05/IDS_on_TII-SSRC-23",
        "demo": null
      },
      {
        "name": "KindHearts",
        "description": "Donation Platform",
        "date": "March 2025",
        "highlights": [
          "Secured 1st place out of 80+ national teams at Tech Horizon National Hackathon",
          "Reduced donation request processing time by 60% with modular dashboards and protected routing",
          "Added real-time request tracking, MetaMask-based crypto payments, and impact reporting"
        ],
        "tech": ["React", "TypeScript", "MongoDB", "Vite", "Tailwind CSS", "React Router", "ESLint", "Context API"],
        "github": "https://github.com/prasad-gade05/KindHearts-Multi-Role-Donation-Management-Platform",
        "demo": null
      },
      {
        "name": "Celestial Classifier",
        "description": "SDSS Dataset Analysis",
        "date": "November 2024",
        "highlights": [
          "Achieved 99.07% accuracy classifying 10,000 celestial objects into stars, galaxies, and quasars",
          "Improved neural-network accuracy from 95.13% to 98.78% using Keras Tuner across 10 trials",
          "Benchmarked 4 classifiers on 3,000 test samples via 5-fold cross-validation and 960+ fits"
        ],
        "tech": ["Python", "Scikit-learn", "Keras", "Keras Tuner", "Pandas", "NumPy", "Matplotlib"],
        "github": "https://github.com/prasad-gade05/Celestial-Object-Classifier-using-Solana-Digital-Sky-Survey-Dataset",
        "demo": null
      },
      {
        "name": "NutriSnap",
        "description": "AI Nutrition Tracker",
        "date": "August 2025",
        "highlights": [
          "Integrated Gemini API to analyze food images or manual entries with 95% accurate nutrient estimates",
          "Implemented daily calorie and macro goals with interactive dashboards",
          "Supported dual input modes with local SQLite storage"
        ],
        "tech": ["Flask", "Python", "HTML", "CSS", "JavaScript", "Gemini API", "SQLite", "Pandas", "OpenCV", "Google Colab"],
        "github": "https://github.com/prasad-gade05/nutrition_tracker",
        "demo": "https://prasadsnutritiontracker.netlify.app/"
      },
      {
        "name": "Audio Visualizer",
        "description": "Real-Time Music Visualization Tool",
        "date": "August 2025",
        "highlights": [
          "Built a real-time audio visualization web app using the Web Audio API",
          "Added multiple visualization modes with customizable color schemes",
          "Deployed a fully client-side solution on GitHub Pages with file upload and microphone input support"
        ],
        "tech": ["TypeScript", "Web Audio API", "HTML5 Canvas", "shadcn/ui", "CSS3"],
        "github": "https://github.com/prasad-gade05/audio_visualizer_app",
        "demo": "https://prasadgade.dev/audio_visualizer_app/"
      },
      {
        "name": "Attendance Tracker",
        "description": "Feature-Rich Attendance PWA",
        "date": "October 2025",
        "highlights": [
          "Built subject-wise reports, student-wise analysis, editable records, and filtering tools",
          "Implemented offline-first data handling with IndexedDB and Dexie.js",
          "Added import, export, backup, and local storage management support"
        ],
        "tech": ["React", "TypeScript", "Vite", "Tailwind CSS", "Zustand", "Dexie.js", "Recharts"],
        "github": "https://github.com/prasad-gade05/attendance",
        "demo": "https://prasadgade.dev/attendance/"
      },
      {
        "name": "Habit Tracker",
        "description": "Client-Side Progressive Web App",
        "date": "September 2025",
        "highlights": [
          "Built streaks, calendar views, analytics, and contribution-style visualizations",
          "Kept the app fully client-side and privacy-first with IndexedDB storage",
          "Used Zustand and modern UI tooling for maintainability and scale"
        ],
        "tech": ["React", "TypeScript", "Vite", "Tailwind CSS", "shadcn/ui", "Zustand", "Dexie.js", "Recharts", "date-fns"],
        "github": "https://github.com/prasad-gade05/Habit-Tracker",
        "demo": "https://prasadgade.dev/Habit-Tracker/"
      },
      {
        "name": "Portfolio",
        "description": "Personal Developer Portfolio",
        "date": "2026",
        "highlights": [
          "Built a personal portfolio with four themes, a Minecraft skin viewer, and a paper physics playground",
          "Added static JSON APIs, agent discovery files, and llms.txt support for machine readability",
          "Designed the site to show both technical work and personality"
        ],
        "tech": ["React", "Three.js", "Framer Motion", "Vite"],
        "github": "https://github.com/prasad-gade05/prasad-gade05.github.io",
        "demo": "https://prasadgade.dev"
      }
    ],
    "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 Tools": ["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"
      },
      {
        "name": "Arduino Course",
        "organization": "Robo-Tech-X",
        "date": "August 2023",
        "url": "https://drive.google.com/file/d/1_KanO9G-0zxvE5QHhNoXH5scV6_l41uX/view?usp=sharing"
      },
      {
        "name": "Introduction to Machine Learning",
        "organization": "Infosys",
        "date": "November 2022",
        "url": "https://drive.google.com/file/d/1j7Sl8MKKwrFZTFEhu8LLuMYr257_oYrS/view?usp=sharing"
      }
    ],
    "achievements": [
      {
        "title": "Winner — Tech Horizon National Hackathon",
        "description": "Secured 1st place out of 80+ national teams in a 36-hour hackathon by designing KindHearts, a full-stack donation platform.",
        "date": "March 2025",
        "url": "https://github.com/prasad-gade05/KindHearts-Multi-Role-Donation-Management-Platform",
        "certificate": "https://drive.google.com/file/d/19EXpm1wVqM35qLiHvbcFzmwwwEiFSr_4/view?usp=sharing"
      },
      {
        "title": "Published Researcher",
        "description": "Published research on postpartum depression prediction using machine learning in IJIES.",
        "date": "April 2024",
        "doi": "https://doi.org/10.46335/IJIES.2024.9.1.8"
      },
      {
        "title": "Open-Source Dataset Contributor",
        "description": "Published IPL and India UPI datasets on Kaggle and Hugging Face.",
        "date": "2025",
        "links": [
          "https://www.kaggle.com/datasets/prasadgade/ipl-2008-2025-enriched-dataset",
          "https://huggingface.co/datasets/prasad-gade05/ipl-enriched-2008-2025",
          "https://www.kaggle.com/datasets/prasadgade/india-upi-ecosystem-2018-2025",
          "https://huggingface.co/datasets/prasad-gade05/india-upi-ecosystem-2018-2025"
        ]
      }
    ],
    "publications": [
      {
        "title": "Postpartum Depression Predictor using Machine Learning",
        "journal": "IJIES Vol. 9, No. 1, 2024",
        "pages": "39-43",
        "date": "April 2024",
        "doi": "https://doi.org/10.46335/IJIES.2024.9.1.8",
        "highlights": [
          "Published findings on the accuracy of multiple machine-learning algorithms for predicting postpartum depression"
        ],
        "tech": ["Decision Tree", "XGBoost", "Random Forest", "NumPy", "Matplotlib", "Pandas"]
      }
    ],
    "leadership": [
      {
        "title": "General Secretary of Students Council",
        "organization": "K. K. Wagh Polytechnic",
        "location": "Nashik, India",
        "startDate": "2023-08",
        "endDate": "2024-06",
        "highlights": [
          "Spearheaded the institute annual gathering fest Sparsh 2024 on the theme Swaraj"
        ]
      }
    ],
    "resume_pdf": "https://prasadgade.dev/Prasad_Gade_Resume.pdf"
  }
}