I am a Computer Science student at the American University of Beirut (AUB), focused on building high-impact machine learning systems, analytics pipelines, and production backend solutions.
- π Dual Major: Computer Science + intended Applied Mathematics/Statistics
- π Minors: Business Administration
- π GPA: 3.80 (Dean's List, 4 semesters)
- π¬ Research focus: Machine learning, statistical inference, hypothesis testing, and quantum sensing applications
- π€ Open to internships/jobs, research collaborations, and impactful ML projects
- Statistical Inference and Hypothesis Testing
- Graduate-level statistical inference work covering decision theory, Bayesian inference, hypothesis testing, Wilk's theorem, and high-dimensional behavior.
- Applied Linear Regression
- Applied linear regression analysis with reports and simulation work in R.
- SafeSteps AWS Project
- ML-powered safety heatmaps and safest-route recommendations hosted on AWS.
- Myalgic-Encephalomyelitis Project
- End-to-end data science and NLP workflow for phenotype classification.
- airplane-navigation-using-a-quantum-magnetometer
- GPS-independent navigation simulation research.
- Machine Learning Teacher Intern, AMISCLAC (120-hour training delivered)
- Backend Development Intern, Najahak.io (production REST APIs in Django)
- Data Analyst Intern, Prodigy Infotech (insight extraction and analytics)
- AUB Undergraduate Research Volunteer Program (quantum sensing and causality projects)
- MEPI Tomorrow Leaders Full Scholarship (U.S. Department of State)
- Amazon Women in Engineering - ML Track Certificate
- Math Olympiad Participant (2x)
π Portfolio Website: nadjoubiii.github.io/portfolio

