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nitishb-dev/README.md

🚀 Nitish B | Software Developer & Tech Enthusiast

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Snake animation
Typing SVG

👨‍💻 About Me

const nitish = {
  location: "India 🇮🇳",
  role: "Software Developer",
  passion: ["Problem Solving", "Building Solutions"],
  currentFocus: "Vibe Coding, AI Automation & MCP Servers",
  funFact: "I turn coffee into code ☕➡️💻"
}

🌟 Building impactful software solutions
🎯 Focused on modern tech stacks
🔥 Always exploring new technologies
💡 Love automating workflows

 Coding

🎯 Currently Mastering

🎓 Learning Track 📈 Progress 🎯 Goal
DSA with Java 🟩🟩🟩🟨⬜ Master Problem Solving
Deep Learning 🟩🟩🟨⬜⬜ Build AI Applications
n8n Automation 🟩🟩🟩⬜⬜ Workflow Automation
Full Stack Development 🟩🟩🟩🟩⬜ End-to-End Solutions
DevOps & CI/CD 🟩🟩⬜⬜⬜ Production Deployment

🛠️ Tech Arsenal

💻 Languages

Python Java JavaScript

🎨 Frontend

React HTML5 CSS3 TailwindCSS Bootstrap

⚡ Backend

Node.js Express.js

🗄️ Databases

MongoDB MySQL Supabase

☁️ Cloud & DevOps

AWS Google Cloud Azure Docker

🎨 Design & Tools

Figma Canva Git VS Code Postman

📊 GitHub Analytics

Nitish's GitHub Stats Top Languages
GitHub Streak
Activity Graph

🏆 GitHub Trophies

GitHub Trophies

🌐 Let's Connect

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✨ "Code is like humor. When you have to explain it, it's bad." – Cory House ✨

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  1. Amazon_AutomationTesting Amazon_AutomationTesting Public

    An end-to-end automation testing project for the Amazon India website, developed in Java using Selenium WebDriver and the TestNG framework. Functionalities are automated through test scripts execut…

    Java

  2. ANARIX-AI-Agent ANARIX-AI-Agent Public

    An AI agent that answers natural language questions about e-commerce data by converting queries to SQL, fetching results from a sales database, and delivering real-time responses via API.

    Python

  3. Cricket-Management Cricket-Management Public

    A full-stack cricket match tracking and player performance analysis system built with React, Node.js, Express, and MySQL. Designed to manage local matches, maintain player statistics, and present i…

    TypeScript

  4. IMDB_SENTIMENT-ANALYSIS IMDB_SENTIMENT-ANALYSIS Public

    Deep learning model that analyzes movie review sentiment using LSTM networks. Trained on 50K IMDB reviews with 88.14% accuracy. Real-time positive/negative classification with TensorFlow/Keras.

    Jupyter Notebook

  5. REACT_TODO_LIST REACT_TODO_LIST Public

    A fully functional, serverless Todo List application built with React.js (Vite) for the frontend and AWS Lambda + MySQL (RDS) for the backend. This project demonstrates full-stack development with …

    JavaScript

  6. Data-Cleaning Data-Cleaning Public

    Taking an Unprocessed dataset and performing Data cleaning using Python.

    Jupyter Notebook