Open to Opportunities

Sarvesh Chhetri

Machine Learning Enthusiast & Computer Engineer

Computer Engineering graduate from Pokhara University, Nepal, with backend internship experience. I build machine learning apps with Python, from raw data to deployed models.

Kaggle GitHub HuggingFace
Sarvesh Chhetri
Christchurch, New Zealand
3Deployed ML apps
4 moBackend internship
2Certs

01 · About

Who I Am

Hello! I'm Sarvesh, a Computer Engineering graduate from Nepal and a machine learning enthusiast. I recently completed a backend developer internship and I enjoy turning data into working, deployed applications.

I am particularly interested in mathematics and eager to understand how it powers modern Data Science and AI systems. From training predictive models to building end-to-end data pipelines, I enjoy working across the full data workflow.

Currently, I am looking to contribute to impactful projects where data-driven insights lead to meaningful decisions and real-world solutions.

Bachelor of Computer Engineering

School of Engineering, Pokhara University

Graduated

02 · Skills

Stack & Tools

Languages & Frameworks

Python FastAPI PostgreSQL Scikit-learn PyTorch

Data Science

NumPy Pandas Matplotlib Seaborn Streamlit

Tools

VS Code PyCharm Jupyter pgAdmin4 Git

Focus Areas

Data Science Machine Learning Deep Learning Data Analysis Model Deployment

03 · Experience

Work Experience

Backend Developer Intern

January 2026 – April 2026
Veez Technologies
  • Built and maintained backend features using Python, FastAPI and PostgreSQL.
  • Worked with Git and followed team development workflows.

04 · Projects

Built Things

AI · Mental Health

MindMantra

Educational mental health screening demo inspired by DSM-5 criteria, built with a Random Forest classifier and deployed on Streamlit. Not a medical or diagnostic tool.

PythonScikit-learnStreamlitRandom Forest
Visit App
Climate · Data

Nepal Climate Analysis

Omdena capstone project analyzing historical climate data for Nepal — visualizing trends, anomalies, and regional patterns through an interactive dashboard.

PythonPandasStreamlitOmdena
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ML · Telecom

Customer Churn Prediction

End-to-end ML app predicting telecom customer churn. Full preprocessing pipeline, model training, and an interactive prediction interface.

PythonScikit-learnStreamlitClassification
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05 · Certifications

Credentials

Omdena Academy

Foundational Data Science with NIC Nepal

Supervised & unsupervised learning, model implementation, and an interactive Streamlit dashboard.

Verify
NVIDIA Deep Learning Institute

Getting Started with Deep Learning

Deep learning fundamentals, CNNs, and hands-on PyTorch projects for computer vision.

Verify