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Saransh-Basu-01/README.md

πŸ‘‹ Welcome to My Digital Space!

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πŸ€– Machine Learning Engineer | πŸ’» Full Stack Developer | πŸ“Š Data Science Enthusiast

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Coding

πŸš€ About Me

class SaranshaBasu:
    def __init__(self):
        self.name = "Saransha Basu"
        self.location = "Nepal πŸ‡³πŸ‡΅"
        self.role = "ML Engineer & Full Stack Developer"
        self.education = "Engineering Student"
        
    def current_focus(self):
        return [
            "πŸ”­ Deep Learning & Computer Vision",
            "🧠 Neural Networks & AI Models",
            "πŸ“Š Data Science & Analytics",
            "🌐 Full Stack Web Development"
        ]
    
    def learning(self):
        return {
            "ML/AI": ["TensorFlow", "PyTorch", "Keras","Scikit-Learn"],
            "Data": ["NumPy", "Pandas", "Matplotlib", "Seaborn","Tableau"],
            "Backend": ["Flask", "FastAPI"],
            "Frontend": ["React", "Next.js"],
            "Other": ["DSA", "System Design"]
        }
    

🎯 What I'm Currently Working On

  • πŸ”¬ Exploring Deep Learning architectures and Computer Vision models
  • πŸ“ˆ Building end-to-end ML pipelines for real-world problems
  • πŸ—οΈ Developing scalable full-stack applications
  • πŸ’ͺ Sharpening problem-solving skills on LeetCode & DSA
  • 🀝 Contributing to open-source projects
  • πŸ“ Documenting my learning journey
  • 🎨 Creating AI-powered web applications
  • 🌟 Collaborating with the tech community


Platform Profile Link
πŸ’Ό LinkedIn LinkedIn
πŸ“˜ Facebook Facebook
πŸ“§ Email Gmail
πŸ“Š Kaggle Kaggle

πŸ’» Tech Stack & Skills

πŸ‘¨β€πŸ’» Programming Languages

Python C C++ JavaScript TypeScript SQL

πŸ€– Machine Learning & AI

TensorFlow PyTorch Keras scikit-learn NumPy Pandas Matplotlib

🌐 Web Development

React Flask FastAPI Next.js HTML5 CSS3

πŸ—„οΈ Databases

MySQL SQLite PostgreSQL MongoDB

πŸ› οΈ Tools & Technologies

Git Docker VS Code Jupyter Linux


πŸ“Š GitHub Statistics

GitHub Stats GitHub Streak
Top Languages Activity Graph

πŸ“ˆ Contribution Graph


πŸ† GitHub Trophies


✍️ Random Dev Quote


πŸ” Top Contributed Repositories


πŸ’­ A Little More About Me

const saransha = {
    pronouns: "He" | "Him",
    code: ["Python", "JavaScript", "C++", "TypeScript", "SQL"],
    askMeAbout: ["ML/AI", "Web Dev", "Data Science", "Problem Solving"],
    technologies: {
        machineLearning: {
            frameworks: ["TensorFlow", "PyTorch", "Keras", "scikit-learn"],
            libraries: ["NumPy", "Pandas", "Matplotlib", "Seaborn", "OpenCV"]
        },
        backEnd: {
            python: [ "FastAPI", "Flask"],
        },
        frontEnd: {
            js: ["React", "Next.js"],
            css: ["Tailwind CSS", "Bootstrap"]
        },
        databases: ["MySQL", "SQLite", "PostgreSQL", "MongoDB"],
        devOps: ["Docker", "Git", "GitHub Actions"],
        misc: ["REST APIs", "GraphQL", "Jupyter Notebooks"]
    },
    currentFocus: "Building AI-powered applications and mastering Deep Learning",
    funFact: "I debug with print statements and I'm not ashamed! πŸ˜„"
};

πŸ“« How to Reach Me

πŸ“§ Email: saranshbasu@gmail.com

πŸ’Ό LinkedIn: Saransh Basu

πŸ“˜ Facebook: Saransh Basu

πŸ“Š Kaggle: saranshbasu


πŸ’– Support My Work

If you find my projects helpful, consider giving them a ⭐️!

Show some ❀️ by starring some of my repositories!


Thanks for visiting my profile! Happy Coding! πŸš€

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"The only way to do great work is to love what you do." - Steve Jobs

Made with ❀️ and lots of β˜•

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  1. Basic-To-Advanced-ML-concepts Basic-To-Advanced-ML-concepts Public

    this repo contains the concepts of machine learning which i have been learning from past 3 to 4 months.

    Jupyter Notebook 2

  2. atlas-backend atlas-backend Public

    "Building a Production Backend Ecosystem"

    Python 2

  3. Built_your_dl_framework Built_your_dl_framework Public

    Jupyter Notebook 2

  4. AI_Engineering AI_Engineering Public

    Jupyter Notebook 2

  5. Neural-Style-Transfer Neural-Style-Transfer Public

    Python 2

  6. Blog_website Blog_website Public

    so its a really a simple project to learn fastapi in depth

    HTML 1