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shrivaradb/README.md
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Data Science Undergraduate @ Department of Technology, SPPU • 🏆 IBM National Hackathon Finalist
Building multi-task deep learning pipelines, computer vision systems & enterprise BI dashboards.

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👨‍💻 About Me

  • 🎓 Education: Data Science Engineering Undergraduate at Department of Technology, Savitribai Phule Pune University (SPPU).
  • 🏆 Major Honors: National Finalist at the IBM National Hackathon & 1st Rank at ICE IBM Day Project Competition.
  • 🔭 Current Work: Developing CycloneSaarthi for Smart India Hackathon (SIH) — a multi-task deep learning platform for tropical cyclone detection, wind-speed estimation, and rapid-intensification alerts using satellite imagery.
  • 📊 Key Experience: Cleaned and preprocessed large-scale image datasets for the SPPU Guinness World Record initiative.
  • 🛰️ Hackathons: Participant in ISRO × Hack2Skill Bhartiya Antariksh Hackathon for satellite data processing.
  • 🎯 Looking for: Data Science, Machine Learning, and Data Analytics Internships.

🏆 Honors & Hackathons

  • 🏆 National Finalist — IBM National Hackathon: Competed among top teams across India, developing an end-to-end AI/data-driven solution to solve real-world industry challenges.
  • 🥇 1st Rank — ICE IBM Day Project Competition: Built a Python & OpenCV-based optical diffraction analysis system.
  • 💡 Smart India Hackathon (SIH): Architected CycloneSaarthi, an AI-driven disaster management & early-warning platform.
  • 🛰️ Bhartiya Antariksh Hackathon (ISRO × Hack2Skill): Developed AI models for satellite data and geospatial image analysis.
  • 📜 SPPU Guinness World Record: Curated and validated high-volume image data for automated processing pipelines.

🛠️ Technical Toolkit

💻 Programming Languages

Python SQL MySQL C++ C

🤖 Machine Learning & Computer Vision

Scikit-Learn OpenCV Pandas NumPy Jupyter Colab

📊 Business Intelligence & Analytics

Power BI DAX Excel Matplotlib Seaborn

⚙️ Developer Tools & Version Control

Git GitHub VS Code

🌟 Featured Projects

Project Highlights & Tech Stack Link
🌀 CycloneSaarthi (SIH) Multi-task deep learning system for cyclone intensity estimation, trajectory tracking, and alerts using satellite data. In Development
🌾 Rice Grain Classification Classified 5 grain varieties across 75,000+ images with 96.99% accuracy using OpenCV feature extraction & KNN. View Repo
📊 Blinkit Sales Performance BI Dashboard Power BI retail analytics dashboard with custom DAX measures for revenue, outlet tiers & customer ratings. View Repo
📉 Telecom Customer Churn Dashboard Customer segmentation and churn driver analysis with interactive DAX KPI metrics. View Repo
👤 Face Recognition Attendance System Real-time automated attendance logging pipeline via webcam using Python, OpenCV, and face_recognition. View Repo

📬 Connect With Me

LinkedIn Email Status


Designed with precision for data science & AI • Feel free to explore my repositories! ⭐

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  1. Rice-Grain-Classification Rice-Grain-Classification Public

    🌾 Computer Vision and Machine Learning project for classifying 5 rice grain varieties using OpenCV-based feature extraction and KNN, achieving 96.99% classification accuracy.

    Jupyter Notebook

  2. Telecom-Customer-Churn-Analysis-Dashboard Telecom-Customer-Churn-Analysis-Dashboard Public

    📊 Interactive Power BI dashboard analyzing telecom customer churn using customer segmentation, churn drivers, KPI tracking, and business intelligence insights.

  3. Blinkit-Sales-Performance-Dashboard Blinkit-Sales-Performance-Dashboard Public

    📊 Power BI dashboard for Blinkit sales analysis featuring KPI tracking, outlet performance, product insights, customer ratings analysis, and interactive business intelligence reporting.

  4. Face-Recognition-Based-Attendance-System Face-Recognition-Based-Attendance-System Public

    A real-time face recognition-based attendance system using Python, OpenCV, and the face_recognition library. It detects and identifies faces from webcam input and logs attendance with roll number, …

    Python