Machine LearningPython
Introduction to Machine Learning
A beginner's guide to understanding the fundamentals of machine learning.
Nirajan Dhakal
ML · Quantum · Cosmos
Personal portfolio of Nirajan Dhakal — Machine Learning enthusiast, Quantum Computing explorer, Citizen Astronomer, and Science Communicator based in Kathmandu, Nepal.
ABOUT
Who I Am
A brief introduction to my journey in technology and science.
I'm Nirajan Dhakal, a Computer Science student from Kathmandu, Nepal with a deep passion for machine learning, quantum computing, and astronomy. I believe in the power of technology to unlock the mysteries of our universe — from the quantum realm to the cosmos.
Beyond research and development, I'm a science communicator — creating content on YouTube, TikTok, and Instagram to make complex scientific concepts accessible to wider audiences. When I'm not coding or filming, you'll find me stargazing with my telescope or exploring new ML research papers.
2023 — Present
B.Sc. CSIT, Tribhuvan University
Pursuing Bachelor's in Computer Science and Information Technology.
2023
Python Workshop Instructor
Taught Python programming fundamentals to students.
2023
ML Bootcamp Instructor
Led machine learning bootcamp sessions covering fundamentals and practical applications.
SKILLS
What I Work With
Technologies and domains I'm proficient in.
Languages
Python
JavaScript
TypeScript
C/C++
SQL
HTML/CSS
Frameworks
PyTorch
TensorFlow
Scikit-learn
Astro
React
Node.js
Tools
Git
Docker
Linux
Jupyter
VS Code
LaTeX
Domains
Machine Learning
Quantum Computing
Computer Vision
Data Science
Astronomy
NLP
PROJECTS
What I've Built
Selected projects showcasing my work in ML, quantum computing, and web development.
StarGazer
An AI-powered astronomy companion that identifies constellations and celestial objects from star charts and sky observations using deep learning.
PythonDeep LearningComputer Vision
Quantum Circuit Simulator
A web-based quantum computing simulator for visualizing and testing quantum circuits with real-time state vector computation.
JavaScriptQuantum ComputingWeb
Neural Style Transfer
Real-time neural style transfer application that applies artistic styles to images and video streams using convolutional neural networks.
PythonPyTorchComputer Vision
ML Workshop Materials
Comprehensive workshop materials for teaching machine learning fundamentals, including notebooks, datasets, and presentations.
PythonJupyterEducation
Astronomical Data Visualization
Interactive visualization tools for exploring astronomical datasets including exoplanet catalogs and stellar classifications.
PythonData ScienceVisualization
PUBLICATIONS
Research & Writing
Academic publications and research contributions.
Machine Learning Approaches for Stellar Classification
Nirajan Dhakal
Nepal Science Conference, 2024
Exploring supervised learning techniques for automated classification of stellar objects using photometric data.
Machine LearningAstronomy
SCIENCE COMMUNICATOR
Making Science Accessible
Debunking pseudoscience, teaching real scientific mechanisms, and creating explanatory videos to bring science to general audiences.