Farrah Firdos

Mechanical Engineering student at the University of Manchester seeking opportunities in data-driven roles. Proficient in mathematical modelling, computational modelling, and problem-solving. Currently developing experience in simulation and analytical modelling through a final-year project on modelling nuclear reactor cooling system performance. Keen to apply statistical methods and programming skills to real-world challenges. Motivated, adaptable, and eager to apply and develop skills to impactful data-led projects while developing professional experience.

Embedded Data Acquisition and Analysis System

• Programmed a microcontroller using MicroPython to collect real-time environmental sensor data.
• Implemented pre-processing and filtering to improve signal reliability and avoid aliasing.
• Structured and exported datasets for analysis in Python.
• Applied statistical analysis to identify trends and anomalies in sensor readings.

Numerical Methods and Algorithm Implementation in Python

• Implemented numerical integration techniques to construct discretised matrix representations of continuous systems.
• Developed and compared linear solvers, including Gaussian elimination and the Thomas algorithm for tridiagonal matrices.
• Evaluated computational cost and numerical stability for different solution methods.
• Strengthened understanding of linear algebra, matrix operations, and algorithmic performance in Python.

Murat Kilic (Academic Advisor)

Email: zekaimurat.kilic@manchester.ac.uk

Hector Iacovides (Final-Year Project Supervisor)

Email: h.iacovides@manchester.ac.uk