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deaneeth/README.md
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🧠 About Me

I'm a Computer Science Undergraduate exploring the fascinating intersection of AI, Machine Learning, and Robotics. As a dedicated Sophophile (lover of knowledge), I'm constantly learning and expanding my horizons in the tech world.

  • 🤖 AI/ML & Robotics Enthusiast working on innovative projects that combine intelligence with mechanical design
  • 👨‍💻 Building and experimenting with Computer Vision systems and ML models
  • 🌱 Currently enhancing my skills in Deep Learning, Gen AI and Robotics Engineering
  • 🔭 Exploring the possibilities of Mechatronic Engineering and intelligent systems
  • 🚀 Aspiring to become an AI/ML Engineer/Researcher with focus on robotics applications
  • 💡 Passionate about creating technology that can positively impact the world

💻 Tech Stack & Expertise

🔍 Areas of Interest

Artificial Intelligence Machine Learning Robotics Computer Vision Mechatronics Data Science Computer Science

💻 Languages

Python C C# C++ PowerShell JavaScript Java TypeScript

☁️ Cloud & Hosting

Vercel AWS Azure Heroku Firebase Cloudflare Google Cloud Oracle OpenStack

🧩 Frameworks & Libraries

React TailwindCSS Flask Flutter Angular.js Bootstrap Django FastAPI Anaconda Laravel Next JS OpenCV Vite WordPress

🛢️ Databases & Servers

Apache Firebase MongoDB Postgres MySQL

🧪 ML & Data Science

TensorFlow PyTorch scikit-learn Matplotlib Seaborn NumPy Pandas Hugging Face

🔧 DevOps & Tools

Git Arduino Docker Kubernetes Postman Raspberry Pi

🌟 My Vision

def my_journey():
    skills = ["AI", "ML", "Robotics", "Computer Vision", "IoT",  "Agentic AI", "NLP", "Edge Computing"]
    goals = ["AI/ML Engineer", "MLOps/LLMOps Engineer", "Robotics Researcher", "Innovation Leader"]
    passion = float('inf')
    
    while passion > 0:
        learn(skills)
        apply(skills)
        innovate(skills)
        share_knowledge()
        passion += 1  # Passion only grows with time!
        
my_journey()  # Currently executing...

📈 GitHub Stats

Deaneeth's GitHub stats

🌐 Connect With Me

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  1. churn-prediction-data-pipeline churn-prediction-data-pipeline Public

    Step-by-step EDA and data preprocessing journey for customer churn prediction. Updated weekly with raw & processed datasets, notebooks, and ML-ready pipeline.

    Jupyter Notebook 4 2

  2. churn-prediction-model-training churn-prediction-model-training Public

    Step-by-step guide to building machine learning models for customer churn prediction, continuing from the data preprocessing phase. The repo covers training, evaluation, and saving of models, with …

    Jupyter Notebook 2 1

  3. churn-prediction-production-pipeline churn-prediction-production-pipeline Public

    Production-grade machine learning pipeline for customer churn prediction with modular components for data preprocessing, model training, and streaming inference. This third repo in a series builds …

    Python 2

  4. telco-churn-prediction-mlops telco-churn-prediction-mlops Public

    Production-ready ML pipeline for telco customer churn prediction using advanced ensemble methods (XGBoost, CatBoost, Random Forest). Handles class imbalance, provides business insights, and include…

    Jupyter Notebook 2 1

  5. smart-beehive-monitor smart-beehive-monitor Public

    ESP32-based IoT system for real-time beehive monitoring with temperature, humidity, bee activity tracking, weight measurement, and Firebase integration. Complete with solar power and web dashboard.

    C++ 4 1

  6. smart-beehive-dashboard smart-beehive-dashboard Public

    Real-time web dashboard for visualizing beehive metrics including temperature, humidity, weight, bee activity, and alerts. Built with React and Firebase, designed to work with ESP32-based Smart Bee…

    TypeScript 2 1