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somyarj1637/README.md

Hola 👋, I'm SRJ

Myself Somya Ranjan Jena, a passionate Devops Engineer and NLP Enthusiast from the Developer world

💫 About Me:

🔭 I’m currently working on my skillset in the field of Devops and Data Science
🌱 I’m currently learning Docker
💬 Ask me about Devops, DSA, Web Development, Data Science
📫 How to reach me: somyaranjan1637@gmail.com
😄 Pronouns: SRJ

🌐 Socials:

Facebook Instagram LinkedIn Twitter

💻 Tech Stack:

C CSS3 Java HTML5 JavaScript Python Azure Google Cloud DigitalOcean Heroku Anaconda Bootstrap Express.js FastAPI Flask NPM NodeJS Pug React MySQL MongoDB Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Docker

📊 GitHub Stats:



🏆 GitHub Trophies

🐦 Latest Tweet

✍️ Dev Quote


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  1. Email-Spam-Classifier Email-Spam-Classifier Public

    This email spam classifier is designed to identify whether an email is spam or not. The model uses natural language processing (NLP) techniques to analyze the content of an email and predict whethe…

    Jupyter Notebook

  2. Car-Price-and-Feature-Estimator Car-Price-and-Feature-Estimator Public

    This is the price prediction model which simplies the cost of the car and can also suggest the best one for you.

    HTML 1

  3. Predict-The-Future-of-Zomato-Restaurant Predict-The-Future-of-Zomato-Restaurant Public

    A complete overview analysis of the restaurants presents in Bangalore City with help of various visualization tools like HeatMap, Seaborn , etc.

    Jupyter Notebook 1

  4. FoodzGo-Service FoodzGo-Service Public

    This is a full stack Food delivery website which is made-up using Pug, CSS , Javascript, Node.JS , MongoDB and IDE-VS code

    Pug 1

  5. WassUP-Anonymous-Chat-Website WassUP-Anonymous-Chat-Website Public

    WassUP-Anonymous Chat Website is a web application which is used to chat with strangers without sharing their information.In this project, we have used Express, Node.js, Socket.io, HTML, CSS and Ja…

    CSS 1 1

  6. Sentiment-Detection-Tool Sentiment-Detection-Tool Public

    Understanding the text content sentiment of the user and determing the nature of the mood or emotion of the user.