Portfolio 2026 v2.0 dashboard
Data Analytics · Data Science & Machine Learning. Nepal

Hi, I'm Manish Rajbanshi

Data Analytics · Data Science & Machine Learning.

I build scalable web applications, intelligent systems, and data-driven solutions using modern technologies.

realtime · building
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Manish Rajbanshi

Manish Rajbanshi

B.Tech · CSE · 2022–2026

Focus

Data Science

Data

Analytics

AI

ML / CV

About Me

A quick dashboard view of my background, education and how I approach building data-driven solutions.

Biography

I'm a Under Graduate Computer Science student and developer who enjoys turning complex problems into clean, scalable products. My work spans Data Analytics, Data Science & Machine Learning — from building analytics dashboards to training Machine Learning and Deep learning models.

I care about readable code, thoughtful interfaces and shipping things that actually help people. Alongside product work, I've published research at IEEE ICCCA 2025 on real-time face-recognition attendance, and I'm always exploring the intersection of software and data.

Problem Solver

Data-Driven

Insights first

Researcher

IEEE 2025

B.Tech in Computer Science & Engineering

Parul University

2022 – 2026

Based in

Nepal

Open to remote

Focus Areas

Web · Data · AI

Full-stack + ML

Skills & Technologies

Tools and languages I use to build, analyze and ship.

Featured Projects

Selected projects across AI, full-stack web and data analytics.

Experience

Where I've applied my skills in real-world projects.

2026 Internship

Web Development Intern

Sofixs PVT. LTD.

  • Developed and maintained responsive web applications using React.js and Node.js.
  • Assisted in software installation, debugging, and troubleshooting application issues.
  • Maintained project documentation and collaborated with the development team.

Research

Peer-reviewed work published at an international IEEE conference.

IEEE ICCCA 2025

International Conference on Computing, Communication and Automation

Manish Rajbanshi, Avinash Kumar Raut, Avajit Kumar Kewrat, Raju Kumar Sah
View Research
Research Paper

Live Attendance System Using Face Recognition

Automated attendance marking using deep face embeddings and real-time recognition, reducing manual effort and improving accuracy in academic environments.

Technologies

Python OpenCV FaceNet Deep Learning

Venue

IEEE ICCCA

Year

2025

Type

Conference

GitHub & Recent Work

A snapshot of repositories and contribution activity.

Contribution Activity

Last 6 months · ~420 contributions

Profile
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This Week

Coding summary

Commits 48
Repositories 12
Stars Earned 104

Let's Work Together

Have a project, role or idea in mind? Send a message and I'll get back to you.

Get in touch

I'm currently open to Data Analytics, Data Science & Machine Learning and data-focused opportunities.

Available for work

Typical response time: within 24 hours.

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