Background
Welcome to My World

Sahaj
Gyawali

Aspiring Data Scientist
Focused on transforming data into meaningful insights
Kathmandu, Nepal.

Download CV

About Statement

I am a CSIT student at Tribhuvan University with a distinguished passion for Data Science and Artificial Intelligence. I architect solutions where mathematics, data, and algorithms converge to solve complex real-world challenges.

Academic Path

B.Sc. CSIT // Ongoing

Bhaktapur Multiple Campus

Tribhuvan University

Higher Secondary

Kathmandu Model College

Major: Physics, Chemistry, Math, Bio

Beyond the Code

Cricket
Photography
Problem Solving
Continuous Learning

Core Philosophy

Applied Statistics & Linear Algebra
End-to-End Project Architecture
Deterministic Problem Solving
Scalable Industry Solutions

Experience

72-Hour Rapid Development Cycle

AI Developer

Ambition College HackFest 2025 Kathmandu, NP

Selected as a core team member to architect and deploy a complete tech solution within a 3-day, 2-night intensive hackathon environment.

  • Collaborated in a cross-functional team of four, leading the integration between AI models and the frontend/backend architecture.
  • Facilitated real-time brainstorming and rapid prototyping to pivot ideas into functional features under strict deadlines.
  • Implemented robust version control and coordination using GitHub, ensuring seamless deployment during late-night coding sessions.
  • Engineered a production-ready prototype that demonstrated practical problem-solving and effective feature scaling.

Competencies

TeamworkAI IntegrationRapid PrototypingFrontendBackendGitHubCommunication
01

HOUSE PRICE PREDICTION

AI / ML

2025

Implementation Details

Created prediction model using RandomForestRegressor to predict house price with high accuracy.

Performed data preprocessing: handling missing values, encoding categorical features, and feature scaling.

Utilized Pandas and Numpy for manipulation; Matplotlib & Seaborn for feature visualization.

Implemented Scikit-learn for model training, hyperparameter tuning, and performance evaluation.

Tech Stack

Random ForestScikit-learnNumpyPandasFastAPIReact
02

NEPALI MOVIE RECOMMENDATION

NLP / WEB

2025

Implementation Details

Developed a full-stack recommendation engine using content-based filtering with Cosine Similarity.

Engineered a custom web scraper using BeautifulSoup to collect movie metadata from online sources.

Implemented JWT-based authentication in FastAPI to manage secure user sessions and protected routes.

Built a dynamic React interface with live search suggestions and integrated movie posters/trailers.

Tech Stack

FastAPIJWT AuthBeautifulSoupCosine SimilarityScikit-learnReactTailwindCSS

Technical Arsenal

[Core Languages]Database management & logic
Python / MySQL / C++
[Data Science & Viz]End-to-end data pipelines & storytelling
Pandas / NumPy / Power BI / Matplotlib / Seaborn
[AI / Machine Learning]Predictive modeling & Neural Architectures
Scikit-Learn / TensorFlow / Keras / PyTorch
[Engineering & Web]Scalable deployment & interfaces
FastAPI / React / Next.js / Docker
[Dev Environment]Version control & optimized workflow
Git / GitHub / Linux / Jupyter / VS Code
Problem Solving
Critical Thinking
Software Optimization
Communication

Contact

Server Ready

Protocol: SMTP_SECURE

Direct Address

sahajgnawali@gmail.com