Skip to content
View ankitkumar3440's full-sized avatar
💭
I may be slow to respond.
💭
I may be slow to respond.

Block or report ankitkumar3440

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ankitkumar3440/README.md

Ankit Kumar

Hello, I'm Ankit Kumar 👋

Welcome to my GitHub profile! I'm a passionate developer and tech enthusiast. I believe in the power of coding to create innovative solutions and bring ideas to life. Here you'll find a glimpse of my journey through various projects and contributions. Feel free to explore and get in touch.

About me

I have a curious mind and an insatiable appetite for learning. As a technology explorer, I'm always on the lookout for the latest advancements in the tech world. Currently, I'm diving deep into new technologies, honing my skills, and embracing challenges that push me to grow.

I enjoy collaborating on open-source projects and solving intricate coding puzzles. There's nothing more satisfying than piecing together the logic of a complex problem and crafting elegant solutions.

Tech Enthusiast and Problem Solver

  • 🌱 I’m currently exploring new technologies and learning new skills.
  • 👯 I’m looking to collaborate on open-source projects and interesting coding challenges.
  • 📫 How to reach me: Email | LinkedIn
  • 😄 Pronouns: He/Him
  • ⚡ Fun fact: I can solve a Rubik's cube in under two minutes!

GitHub Stats

Ankit Kumar's GitHub Stats

Top Languages

Top Langs

Skills

  • Languages: C++ C Python Java

  • Web Development: HTML CSS JavaScript Node.js React WordPress Bootstrap

  • Databases: MySQL MongoDB

  • Version Control: Git

  • Other: Problem Solving Data Structures

Projects

1.WhatsApp Clone using Node.js and Socket.io

  • Description: Developed a real-time chat application inspired by WhatsApp using Node.js and Socket.io.
  • Key Achievements:
    • Implemented real-time messaging functionality using WebSockets.
    • Designed a responsive user interface for a seamless chatting experience.
    • Integrated user authentication and secure data transfer.
    • Enhanced user experience with features like message status indicators.
    • Deployed the application on Heroku for easy access.
  • Tech Stack: Node.js, Socket.io, Express.js, HTML, CSS
  • Repository: WhatsApp Clone Repository

2.Portfolio Website

  • Description: Designed and developed a personal portfolio website to showcase my projects and skills.
  • Key Features:
    • Interactive and responsive design.
    • Showcases a curated selection of my projects.
    • Provides insight into my skills and tech stack.
    • Offers an easy way to get in touch.
  • Tech Stack: HTML, CSS, JavaScript
  • Repository: Portfolio Website Repository

3.SMS-SPAM-CLASSIFICATION using Machine Learning

  • Description: Developed a machine learning model to classify SMS messages as spam or not spam.
  • Key Achievements:
    • Preprocessed and cleaned a dataset of SMS messages.
    • Engineered relevant features from the text data.
    • Trained a classification model using scikit-learn.
    • Achieved high accuracy and precision in spam detection.
    • Deployed the model using Flask to create a simple web app for testing.
  • Tech Stack: Python, scikit-learn, Flask
  • Repository: SMS-SPAM-CLASSIFICATION Repository

4. Movie Recommendation System using Machine Learning

  • Description: Developed a recommendation system that suggests movies to users based on their preferences and viewing history.
  • Key Achievements:
    • Built collaborative filtering and content-based recommendation algorithms.
    • Processed and analyzed movie metadata and user interactions.
    • Created a user-friendly web interface for exploring movie recommendations.
    • Deployed the system using Flask to make personalized recommendations.
  • Tech Stack: Python, scikit-learn, Flask
  • Repository: Movie Recommendation System Repository

5.Credit Card Fraud Detection Using Machine Learning

  • Description: Developed a machine learning model to detect fraudulent credit card transactions.
  • Key Achievements:
    • Preprocessed and transformed credit card transaction data.
    • Built and fine-tuned an ensemble model to identify fraudulent activities.
    • Achieved high accuracy and recall in fraud detection.
    • Deployed the model using Flask for real-time predictions.
  • Tech Stack: Python, scikit-learn, Flask
  • Repository: Credit Card Fraud Detection Repository

My Portfolio

Portfolio

Explore my portfolio website to learn more about my work and projects: Ankit Portfolio

Coding Profiles

Connect with me on coding platforms:

  • Codechef
  • GeeksforGeeks
  • HackerRank
  • Leetcode

Connect with Me

Let's connect and discuss ideas! Feel free to reach out to me on LinkedIn or follow me on Twitter. I'm excited to continue exploring the ever-evolving world of technology and making meaningful contributions along the way..

Languages

  • English: Fluent
  • Hindi: Native

Pinned Loading

  1. ankitkumar3440 ankitkumar3440 Public

    1