Full Stack Developer & DS Enthusiast

SworajKhadka

I build scalable web applications and turn raw data into meaningful insights.

5+ Projects
2+ Years Exp
30+ Technologies

About Me

I'm a Full Stack Developer and Data Science enthusiast based in Nepal, passionate about crafting products that sit at the intersection of clean engineering and intelligent data. I enjoy building end-to-end systems — from database schema to polished UI.

On the data side, I work with Python, Pandas, and Scikit-learn to explore datasets, build predictive models, and surface insights that drive real decisions. I believe that great software doesn't just work — it tells a story.

When I'm not coding I'm reading about machine learning research, contributing to side projects, or finding new ways to make complex ideas feel simple.

Sworaj Khadka

Clean Code

Readable, maintainable code with clear structure and sensible abstractions.

Data-Driven

Decisions backed by data — from user behaviour analytics to ML-powered insights.

Always Learning

Continuously exploring new tools, frameworks, and research to stay sharp.

Tech Stack

What I work with

Showing 42 skills

Python
Java
JavaScript
TypeScript
C
SQL
HTML
CSS
Bash/Shell
React
Next.js
Tailwind CSS
Framer Motion
Figma
Node.js
Flask
FastAPI
REST APIs
PostgreSQL
MySQL
MongoDB
Pandas
NumPy
Scikit-learn
Matplotlib
Seaborn
Jupyter
Power BI
Excel
Apache Spark
Apache Kafka
Apache Hive
Git
GitHub
Postman
Linux
IntelliJ IDEA
VS Code
Cloudflare
Vercel
Notion
Canva

Projects

Things I've built

Full Stack

Scash

A web platform where users can publish their side hustles and monetize their skills in exchange for payment.

ReactNext.jsNode.jsPostgreSQL
AI / ML

Resume Skill Analyzer

Analyzes your resume and identifies missing skills compared to a target job description using NLP.

PythonNLPReactFastAPI
Full Stack

GitHub Profile Analyzer

View detailed GitHub profile statistics — repos, stars, languages, and contribution graphs from just a username.

ReactGitHub APITypeScript
Data Science

Movie Recommender

Content-based movie recommendation system using cosine similarity on TF-IDF vectors of movie metadata.

PythonPandasScikit-learnStreamlit
Data Science

Customer Segmentation & Retention Analysis

K-Means clustering on customer transaction data to identify segments and predict churn risk.

PythonPandasNumPyMatplotlibScikit-learn

Stats

By the numbers

GitHub

LeetCode

Get In Touch

Have a project in mind or just want to say hi? My inbox is always open.