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Irsa Arshad

@irsaarshad

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Computer science graduate who built a Python-based machine learning simulator for Formula 1 pit stop strategies.

United Arab Emirates

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What I'm looking for

I’m seeking to further develop my technical expertise, apply my existing knowledge to practical challenges, and continue growing in computer science.

At Heriot-Watt University Dubai, I built a machine learning-based F1 Pit Stop Strategy Simulator for my dissertation. Using Python, I modeled lap times from race conditions and compared user-inputted pit stop strategies to identify an optimal strategy.

On a Smart Home Automation app team project, I contributed to prototyping and requirements definition, and authored the user manual. I also collaborated on a Unity game, contributing to prototyping and iterative feature development.

Experience

Work history, roles, and key accomplishments

Event & Community Volunteer

WattFest, Academic City

Managed crowds and coordinated performers at WattFest.

Event Management Crowd Management Coordination

Event & Community Volunteer

WSS Passport Program, GEMS Westminster School, Sharjah

Participated in the WSS Passport Program, contributing to community service and earning certification for 71 hours of voluntary service.

Community Service Event Support

Game Development Project

Unity

Collaborated on a game built in Unity, contributing to prototyping and iterative feature development with practical experience in game logic.

Unity Game Development Prototyping Iterative Development

Event & Community Volunteer

Watt Olympics, American Academy

Handled event registration and logistics for Watt Olympics.

Event Management Registration Logistics

Team Project

Smart Home Automation App

Gathered and defined functional and non-functional requirements, contributed to prototyping, and authored the user manual and project documentation.

Requirements Gathering Prototyping Documentation Teamwork

Final Year Dissertation

F1 Pit Stop Strategy Simulator

Built a machine learning model in Python to simulate lap times and compared pit stop strategies to identify optimal race strategies.

Python Machine Learning Data Analysis Modeling Simulation

Event & Community Volunteer

Climate Hub, COP28 UAE (Heriot-Watt University)

Provided guest registration, crowd management, and attendee support at COP28 UAE.

Event Management Crowd Management Customer Service

Education

Degrees, certifications, and relevant coursework

Heriot-Watt University Dubai

BSc (Hons), Computer Science

2022 - 2026

Grade: Upper Second Class Honours, GPA: 3.34/4.00

BSc (Hons) Computer Science with Upper Second Class Honours and GPA 3.34/4.00. Dissertation on a machine learning-based F1 pit stop strategy simulator.