Computer Science · Mathematics · Norwich University
I study machine learning, statistics, combinatorics, and quantitative methods at Norwich University. My work connects real-world data, computational experiments, mathematical reasoning, and teaching.
Machine learning is my primary direction, supported by statistical modeling and mathematical research.
Building a reproducible Python and Jupyter pipeline for Nepal Stock Exchange data. The work begins with transparent regression and classification baselines before comparing time-series and LSTM approaches with evaluation designed for sequential data.
Developed and evaluated an XGBoost workflow using nearly ten million emergency-department records, including chunked processing, feature encoding, held-out evaluation, and feature-importance interpretation.
Investigated vertex-magic total labelings through structural identities, verified constructions, computation, counterexamples, and averaging arguments.
Supported soil testing and exploratory machine-learning analysis of farm macronutrients while also assisting with website and general technology needs.
Leadership, technical support, and operations across university and community settings.
Norwich University · Summer 2026
Research & technology support · 2025–2026
Helping students build mathematical intuition and independent problem-solving habits.
Tutored more than 20 students through one-on-one and small-group sessions. Explained limits, derivatives, integrals, probability, hypothesis testing, and statistical interpretation while adapting explanations to different preparation levels.
Tutoring strengthened my mathematical communication and showed me how careful questions reveal where understanding breaks down. I hope to continue combining research and teaching in graduate school.
Coursework and research organized so the methods, code, limitations, and current status are easy to inspect.
Python and Jupyter capstone starter for financial time-series machine learning.
Open repository ↗Organized healthcare machine-learning workflow with privacy-aware data documentation.
Open repository ↗Research notes, exact examples, Python verification tools, poster, and research note.
Open repository ↗Hypothesis tests, ANOVA, nonparametric methods, linear regression, and logistic regression.
Open repository ↗B.S. candidate in Computer Science and Mathematics at Norwich University. GPA: 3.9. Expected graduation: May 2027.
Education, technical skills, research, professional experience, leadership, certifications, and languages.
Campus leadership and interests that shape how I work with people and teams.
I am interested in research, graduate study, teaching, and computational projects involving machine learning, statistics, finance, and applied mathematics.