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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: [email protected]

Skills

  • Physics Simulations:: Computational Progreamming in python and c++ 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

  • MLOps: Actively exploring the field of MLOps to bridge the gap between machine learning model development and production deployment.
  • 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

Janmajay Kumar's Projects

baysian_fun icon baysian_fun

Visulisation of Baysian Estiamte of Posterior Distribution

computationalastrophysics icon computationalastrophysics

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

flaskonreplit icon flaskonreplit

Developing web application on replit platform with flask framework

htmlproject icon htmlproject

this repository is created for IBM full stack course project!

mypage icon mypage

This is an exmaple of creating a webpage

piml icon piml

Physics Informed Machine Leanring

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