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vannu07/README.md

Dynamic Typing

LinkedIn Email Kaggle Portfolio

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👨‍💻 About Me

Coding Animation

Aspiring Data Scientist specializing in data analysis and applied machine learning. Based in New Delhi, India 🇮🇳

Core Expertise:

  • 🎯 Production ML deployment with 95%+ model accuracy
  • ☁️ Cloud infrastructure (AWS) & MLOps pipelines
  • 🧠 Computer Vision, NLP, and Deep Learning
  • 📊 End-to-end ML lifecycle management

Current Focus 2026:

  • Building scalable ML applications for agriculture & education
  • Implementing CI/CD for ML models with Docker & AWS
  • Contributing to open-source ML frameworks
  • Developing real-time analytics dashboards
tech_stack = {
    "languages": ["Python", "SQL", "JavaScript"],
    "ml_frameworks": ["TensorFlow", "PyTorch", "Scikit-learn"],
    "deployment": ["Docker", "AWS", "FastAPI", "Flask"],
    "tools": ["MLflow", "Git", "Jupyter", "Power BI"]
}


🏆 Featured Projects

🌾 FarmIQ - AI Agriculture Platform

GitHub

FarmIQ project icon

Production ML system optimizing crop yields

Python TensorFlow Flask AWS Docker

Key Achievements:

  • 🌱 92% accurate crop recommendation engine
  • 🦠 CNN model detecting 40+ plant diseases
  • 🌤️ Real-time weather API integration
  • 📱 RESTful API serving 1000+ daily predictions

Business Impact: Empowering farmers with AI-driven decisions, reducing crop loss by 30%

📊 Student Performance Analytics

GitHub

Student performance analytics icon

End-to-end MLOps pipeline with tracking

Python MLflow MySQL Flask Scikit-learn

Key Achievements:

  • 📈 R² score > 0.85 on performance prediction
  • 🔄 Complete MLflow experiment tracking
  • 🗄️ Production database integration
  • 🌐 Deployed REST API with authentication

Technical Highlight: Full CI/CD implementation from research to production

🚦 Real-time Traffic Sign Detection

GitHub

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Computer vision for autonomous systems

Python TensorFlow OpenCV CNN

Key Achievements:

  • 🎥 Real-time video stream processing
  • 🧠 95%+ accuracy on 43 traffic sign classes
  • ⚡ Sub-100ms inference time
  • 📱 Live camera integration

Innovation: Contributing to safer autonomous driving technology

💬 Multi-Model Sentiment Analyzer

GitHub

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NLP application with ensemble learning

Python NLTK Streamlit Scikit-learn

Key Achievements:

  • 🧠 Ensemble of 3 ML models (LR, RF, SVM)
  • 📝 Advanced TF-IDF feature engineering
  • 🎨 Real-time sentiment visualization
  • 🎯 90%+ classification accuracy

Use Case: Brand sentiment monitoring and customer feedback analysis


🛠️ Technical Skills

Core Technologies

Python
Python
MySQL
MySQL
AWS
AWS
Docker
Docker

Machine Learning & AI

TensorFlow PyTorch Scikit-learn Keras OpenCV

MLOps & Cloud

Docker AWS MLflow FastAPI Flask Git

Data Analysis & Visualization

Pandas NumPy Matplotlib Seaborn Power BI Tableau

Databases

MySQL PostgreSQL MongoDB


📊 GitHub Analytics

📈 Performance Metrics

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GitHub Stats Top Languages
GitHub Stats Top Languages Compact
🔥 GitHub Streak Stats
GitHub Streak Stats
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🔥 Contribution Intensity

Contribution Graph

📅 Commit Heatmap

Commit Heatmap

🎯 2026 Professional Goals

✅ Deploy 3+ production ML applications to AWS
✅ Achieve AWS ML Specialty Certification
✅ Contribute to 5 open-source ML projects
✅ Build real-time analytics platform
✅ Publish 10 technical articles on ML engineering
✅ Mentor junior data scientists

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💼 Open For Opportunities

Actively seeking: ML Engineer | Data Scientist | AI Research roles

Available for: Full-time positions | Contract projects | Technical consulting

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🌐 Portfolio: vk-syntax.vercel.app

📫 Get In Touch

I'm always interested in discussing ML projects, data science opportunities, or potential collaborations.

Response time: Within 24 hours ⚡



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