Current program
Bachelor of Technology in Computer Science and Engineering (Honors) Data Science
- Focused on data analysis, machine learning, and software fundamentals
- Building practical skills through coursework and project work
I build intelligent systems, analyze complex data matrices & engineer modern, high-performance web applications combining analytical rigor with premium design.
<OVERVIEW // 01>
A quick snapshot of what I do, what I value, and where I’m headed.
Who I am
I’m a passionate Data Science student at Quantum University with a strong focus on Python, machine learning, and data analysis. I enjoy turning complex data ideas into practical solutions that are clear, useful, and easy to use.
Data science, ML, and full-stack web projects.
Clean UI, strong structure, and real-world problem solving.
Build products that combine data, design, and impact.
<ACADEMICS // 02>
Academic foundation combining engineering fundamentals with advanced data science honors.
Current program
Previous program
<PRACTICAL_TRAJECTORY // 03>
Practical work across data science, security, and frontend development.
Internship
Apprenticeship
Previous experience
<CAPABILITIES_UNIVERSE // 04>
An interactive data and engineering skill universe spanning analytical modeling, languages, and full-stack frameworks.
<FEATURED_DEPLOYMENTS // 05>
Selected projects demonstrating production engineering in news platforms, AI-powered reasoning, and data systems.
Full-stack news platform
A Nepal-focused digital news website built with a Next.js frontend and MongoDB backend. It supports latest news, categories, article pages, multilingual content, and an admin newsroom flow.
AI productivity app
An AI study assistant with a FastAPI backend and React/Vite frontend that generates notes from a topic, stores them in history, and protects access with JWT authentication.
<VERIFIED_CREDENTIALS // 06>
Industry credentials, workshops, and verified problem-solving accomplishments.
Hands-on database architecture, complex query optimization, and transaction handling.
Algorithmic analysis, data structures, and computational optimization challenges.
Semantic responsive web structuring, CSS modern layouts, and cross-browser accessibility.
Component hierarchy, hooks lifecycle state management, and modern interactive UI architectures.
<REPOSITORY_METRICS // 07>
Continuous coding telemetry and contribution footprint on GitHub.
<SECURE_COMMS // 08>
Initiate direct transmission. Let's discuss data science models, collaborations, and engineering roles.
Feel free to reach out directly via email, phone, or LinkedIn.