Pawan Shrestha

Computer Engineering Graduate | AI & Data Science Enthusiast

Recently graduated from Nepal Engineering College with a Bachelor's in Computer Engineering. Passionate about building intelligent systems with Python, machine learning, and data-driven software.

3+Projects
12Skills
B.E.Computer Eng.
Pawan Shrestha portrait
Bhaktapur, Nepal
Open to junior software, AI, and data science opportunities

I'm Pawan Shrestha, a Computer Engineering graduate from Nepal Engineering College. I love exploring technology and solving problems through code. My interests include Artificial Intelligence, Machine Learning, Data Science, and Software Development. I enjoy working on projects that help me learn new skills and create useful solutions. I am eager to begin my professional journey and contribute to innovative and impactful projects. Currently seeking opportunities in Software Engineering, AI/ML, and Data Science to grow my skills and gain industry experience.

FocusAI, ML, Data Science
LanguagesPython, TypeScript
ToolsJupyter, Git, VS Code
Languages
JavascriptHTML, CSSPython
Tools
VS codeSQLJupyterGit & GitHub
AI & Data
Machine LearningData SciencePandas & NumPy
Engineering
ReactREST APIs
Melomatch visual

Melomatch

Song sharing Platform for music lovers

This Project is a dedicated platform to the music lovers where they can post, share their taste on music to strangers. Users can interact with each other. This project uses React for frontend, Node for Backend and MongoDB for database

ReactNodejsMongoDB
Urban Sprawl Prediction visual

Urban Sprawl Prediction

An ML model which predicts the urban expansion in major cities of Nepal.

Built U-Net/ConvLSTM model achieving 85% accuracy on satellite image classification across 3 cities; predicted urban sprawl with 78% precision for 2030 forecasts. Implemented data preprocessing pipeline using pandas and scikit-learn. Generated predictive visualizations for urban expansion patterns until 2030

PythonScikit-learnPandasTensorflow
Student Success Predictor visual

Student Success Predictor

An ML model that identifies at-risk students early using academic and behavioral data with explainable results.

Developed a classification pipeline using scikit-learn that predicts student performance based on attendance, grades, and engagement metrics. Includes SHAP-based feature importance for transparent, interpretable predictions.

Pythonscikit-learnSHAPSQLStreamlit
May, 2025 Oct, 2025

Web Development Intern

Aramex · Kathmandu, Nepal

Developed and maintained parts of the company website, performed testing to identify issues, and provided suggestions to improve functionality and user experience. Collaborated with backend team on API integration

Jul, 2019Apr, 2021

+2 Science

Khwopa College · Bhaktapur, Nepla

Completed +2 Science from Khwopa College

Dec, 2021 Mar, 2026

Bachelor's in Computer Engineering

Nepal Engineering College · Bhaktapur, Nepal

Completed Bachelor's in Computer Engineering. Core subjects: Computer Programming, DBMS, OS, DSA, Computer Network, AI

DataCamp
2024

Intermediate Python

Developed intermediate Python skills including functions, data structures, and working with libraries for data analysis and real world applications.

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Google
2025

Machine Learning Crash Course

Completed Google's fast-paced, practical introduction to machine learning concepts, covering linear regression, neural networks, and classification.

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PDSC
2025

Understanding LLMs and Retrieval-Augmented Generation (RAG)

Gained foundational knowledge of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), including concepts of AI-driven text generation and real-world applications.

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