I'm Gharbin, a developer building

I'm a Computer Science student at New York University Abu Dhabi with a minor in Economics, graduating in 2027. I specialize in building full-stack applications and transforming complex data into actionable insights.

Most recently, I worked as a Research and Data Analytics Intern at ImpactTulsa, where I processed large-scale public sector datasets to support city leadership on public safety and education policy. I reduced data processing time by 30% and integrated crime data across 70+ census tracts to enable targeted intervention strategies.

My work bridges software engineering and data science—from Formula 1 analytics dashboards and car rental management systems to immersive VR museums. I'm driven by the challenge of turning technical complexity into elegant, scalable solutions.

Experience

ImpactTulsa - Research and Data Analytics Intern

Sep 2025 - Dec 2025

Engineered data pipelines using Python to process large-scale public sector datasets, reducing data processing time and enabling policy-driven analysis for public safety and K-12 education outcomes. Integrated crime datasets (homicide, aggravated assault, 911 calls) across 70+ census tracts to support targeted intervention strategies. Analyzed arrest patterns using statistical summaries and visualizations, delivering actionable insights to city leadership and nonprofit partners.

NYUAD Art Gallery - Student Assistant

Mar 2024 - Dec 2024

Managed inventory and logistics for two major exhibitions, ensuring 100% material availability for 300+ visitors. Maintained and optimized communication systems for 110+ artists and collaborators, improving coordination efficiency. Supported curators and artists through event logistics and personalized welcome materials to enhance visitor experience.

Technical Skills

Languages

Python JavaScript SQL C++

Development & Frameworks

React.js FastAPI Node.js MySQL SQLite MongoDB Express.js TailwindCSS Git

Data & Analytics

Pandas NumPy SQLAlchemy FastF1 ETL Pipelines

Featured Projects

F1 Analytics Dashboard Screenshot

F1 ANALYTICS

Fall 2026

Built a Formula 1 analytics platform for tracking race weekends, comparing driver performance, and analyzing team statistics. Implemented automated ETL pipeline using FastF1 to fetch, transform, and load session data into SQLite. Features include season calendar tracking, driver comparison metrics (points, wins, podiums, average finishes), race results with grid positions, and pit stop analytics across all teams.

Stack:
React 19 Vite FastAPI SQLite FastF1 Pandas SQLAlchemy
Car Rental Management System Screenshot

CAR RENTAL MANAGEMENT SYSTEM

Spring 2025

Built a full-stack car rental platform with MySQL, featuring secure JWT authentication and role-based access. Designed optimized relational schema (3NF+) with constraints, views, and stored procedures. Created interactive admin dashboards for monitoring rentals, maintenance, and revenue.

Stack:
React.js FastAPI Python MySQL TailwindCSS
VR

IMMERSIVE VR MUSEUM

Fall 2023 / Virtual Reality Project

Developed an immersive VR museum with 20 interactive exhibits featuring 4 famous artworks and 20 historical inventions to enhance children's engagement in learning history. Integrated advanced XR interactions using Meta Quest 2, including hand tracking and gesture controls for optimal user experience.

Stack:
C# Unity Hub Meta Quest 2 XR Toolkit 3D Modeling

Have an idea? Get in touch!

bg2696@nyu.edu linkedin.com/in/bernard github-page