Noor Kanaan

About Me

Senior at Stevens Institute of Technology studying Computer Science with an AI/ML concentration and a minor in Quantitative Finance.

Experience

SMBC Capital Markets · Jun 2026 - Aug 2026

Software Engineering Intern, Derivative Products Group

Built and deployed Python automation tools, a management-facing dashboard tracking IT system health across 6 business lines, and batch processing monitoring systems for derivative trading platforms. Awarded 2nd Place at the 2026 SMBC AI Hackathon, hosted by Enterprise Architecture Group.

Corbin Capital Partners · Jun 2025 - Aug 2025

Summer Analyst, Portfolio Management & Investment Research

Selected as 1 of 2 interns at a $9.6B alternative investments firm. Conducted Bloomberg research, built financial models, and cleaned a comprehensive fund database across hedge fund strategies and private credit.

Stevens Institute of Technology · Sep 2025 - Dec 2025

Undergraduate Researcher, CS Department

Conducted research in AI-generated content detection and statistical analysis within the Computer Science department.

Skills & Awards

Programming & Frameworks

Python, R, Java, C++, JavaScript, HTML, CSS, SQL, Next.js, React, Bash, OCaml

Tools & Software

Power Apps, Power Automate, MS SQL Server, Azure, Firebase, Supabase, Bloomberg Terminal, BB Intelligence, Figma, Adobe Creative Suite (Photoshop, Illustrator, InDesign, Lightroom), MS Excel

Awards

NJSIM Foundation Scholarship Recipient · 2x Leader of Distinction Award at Stevens

Interests

Graphic Design · Piano · Badminton · Cycling · Painting

Design Work

2-D Art & Graphic Design

I work across digital and traditional mediums using Photoshop, Illustrator, and InDesign. Three of my mixed media pieces were selected for public display.

Personal Projects

Next.js · React · Gemini API

Lumen Labs

AI-powered career platform for PhD students with a Gemini-powered assistant, semantic job matching via vector embeddings, and a BLS job outlook engine mapping 300+ keywords across 80+ SOC codes. Semi-finalist at the Ansary Entrepreneurship Competition.

Python · Scikit-learn · Pandas · Random Forest

Hospital Rating Prediction

Binary classification system predicting U.S. hospital quality ratings across a CMS dataset of 4,812 hospitals. Trained four supervised models achieving 87.5% top accuracy with patient experience and readmission as the strongest predictors.

Python · NLP · Embeddings · Sentiment Analysis

AI Media Narrative Analysis

1 of 9 finalist teams out of 188 nationwide in the Rutgers RAISE-26 AI/NLP competition. Analyzed 10,000+ news articles using embeddings, clustering, and sentiment analysis to map how media shapes public perception of AI.

Python · Quantitative Finance · SPY Benchmark

Risk-Managed Portfolio Simulation

Python portfolio simulation using rolling 30-day risk metrics including VaR, Sharpe Ratio, Sortino Ratio, and Maximum Drawdown to evaluate stock pitches and automate rebalancing, benchmarked against SPY.