Skip to content
View QED137's full-sized avatar
🏠
Available
🏠
Available
Block or Report

Block or report QED137

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
QED137/README.md

Welcome to the GitHub repository of Janmajay Kumar

Background

  • 🔭 Master's in Astro and Particle Physics from the University of Tübingen, and a Master's in Physics from the Indian Institute of Technology, Delhi.
  • Contact: janmajay@iitdalumni.com

Skills

  • Physics Simulations:: Computational Programming in Python and Monte Carlo Simulations.
  • Full-Stack Development: Experienced in building web applications using Python frameworks like Flask and leveraging other web development tools.
  • Machine Learning & Deep Learning: Possess a strong foundation in machine learning and deep learning concepts, honed through coursework on platforms like Coursera.

Current Focus

  • Probabilistic Machine Learning At Tübingen AI Center, University of Tübingen: Currently doing a course on Probabilistic Machine Learning. This is, basically, the Bayesian inference model. For the details click here
  • Alle-Dinge Currently, As a freelancer, I am developing a multipurpose mobile app that can organize PDFs, audio, and video files, either privately or for an organization. With Michael Holzheu

PROJECTS

HTML5 CSS3 JavaScript Flask TensorFlow PyTorch NumPy Pandas Seaborn MySQL

This repository showcases my work in several areas, demonstrating my skills and interests in computational science, machine learning, and web development.

1. Physics Simulations:

This section features a diverse collection of code from my Master's program, highlighting my expertise in computational physics and simulation techniques. Explore the projects in the following folders:

  • N-Bodies Simulation: Chaos In Planetary System: This code is part of coursework at Tübingen University from 2019 to 2021. For Details
  • Computational Astrophysics: This code is part of coursework at Tübingen University from 2019 to 2021.For Details
  • Mass Transport Models And Applications: This is my master's thesis in Physics at the Indian Institute of Technology Delhi, India, from 2011 to 2013 For Details
  • Cherenkov Gamma Telescope Event Classification: For Details

2. Machine Learning:

This section showcases my machine learning projects utilizing various algorithms (e.g., TensorFlow, PyTorch) and data analysis tools (NumPy, Pandas, Seaborn).

3. Web Development:

This section explores my web development skills, featuring both static websites (HTML/CSS/JavaScript) and dynamic applications built with the Flask framework.

  • My Portfolio: (Static Webpage only HTML/CSS/Javascript) link to MyPage link to GitHub
  • Full Stack Web Development: Developed a dynamic job board prototype using HTML, CSS, JavaScript, Flask, and a cloud-hosted MySQL database managed by SQLAlchemy, enabling users to search, apply, and view dynamically generated job postings. For Details Click here for full-stack webpage Please Note:- Sometimes WebPage takes longer time than usual to load because I am using the free tier for both the database and deployment

4. Fun Projects:

This section is dedicated to projects fueled by my love of coding. Here, you'll find solutions to interesting math problems or applications I developed for the joy of exploration.

  • Collatz Conjecture: Investigates the Collatz sequence's behavior through code For Details
  • Essential Statistics: This section provides an introduction to essential statistical concepts needed to kickstart your understanding of data analysis. It includes course materials and relevant code examples. For Details

🔥 Github stats

GitHub Streak

Popular repositories Loading

  1. Mass-transport-models-and-their-applications Mass-transport-models-and-their-applications Public

    Monte Carlo Simulation

    Jupyter Notebook 1

  2. PIML PIML Public

    Physics Informed Machine Leanring

    Python 1

  3. HiggsBosonML HiggsBosonML Public

    Higgs Boson Machine Learning Challenge,

    Jupyter Notebook 1

  4. N-Body N-Body Public

    Chaos In Planetory System

    Jupyter Notebook 1

  5. QED137 QED137 Public

    1

  6. ComputationalAstrophysics ComputationalAstrophysics Public

    Python code : Numerical Analysis Fundamental Equations in Astrophyiscs that exaplains formations of a star!!

    Jupyter Notebook 1