BE Computer Engineering Graduate & Developer
Jenisha
Jenisha
Shrestha
Passionate about AI/ML and Data Science — building thoughtful solutions at the intersection of code and curiosity.
Passionate about AI/ML and Data Science — building thoughtful solutions at the intersection of code and curiosity.
Hi! I'm Jenisha, a Computer Engineering graduate (BE, Khwopa College of Engineering, Tribhuvan University) with a deep interest in the places where technology meets real-world impact. I love working on problems that matter — whether that's building intelligent systems, crafting clean data pipelines, or developing full-stack applications from scratch.
My focus areas include AI & Machine Learning, where I explore deep learning architectures and model evaluation, and Data Science, where I turn messy datasets into actionable insights.
Beyond engineering, I'm passionate about using technology for social good — particularly in healthcare and community-driven projects. I enjoy hackathons, coding challenges, and collaborating with people who care about building things that last.
When I'm not coding, you'll find me rewatching Studio Ghibli films or diving into a piece of classic literature.
End-to-end ML pipeline — EDA, preprocessing, XGBoost model, SHAP interpretability, and Streamlit deployment. Structured across Phases 0–7 with a stakeholder-style presentation. ~0.741 AUC. Deployed live on Streamlit Community Cloud.
A comprehensive student management application built in Python, handling records, enrollment, and data operations with a clean command-line interface.
View on GitHubAn augmented reality mobile application built with Dart and Flutter, featuring camera integration and real-time AR overlays for an immersive user experience.
View on GitHubA SQL-powered library management system with full CRUD operations — managing books, members, checkouts and returns with an integrated Python interface.
View on GitHubA hackathon project addressing food security using data science and ML techniques — analyzing food distribution data to surface actionable insights for social impact.
View on GitHubA secure and transparent digital voting application built with JavaScript — exploring integrity mechanisms and user authentication for reliable vote collection.
View on GitHubWorked on financial transaction analysis, fraud detection, and loan default prediction across large-scale datasets. Delivered pipeline work and findings in a client-facing context for fintech partners.
Graduated with a focus on AI/ML, data science, and software development. Capstone: Blockchain-Based Voting System with Behavioural Anomaly Detection. Actively participated in hackathons, research, and collaborative engineering projects throughout the degree.
Represented LOCUS on campus for 9 months, coordinating outreach and supporting event activities.
Have a project idea, collaboration opportunity, or just want to say hello? I'd love to hear from you. Fill in the form and I'll get back to you as soon as possible.