Alessandro Angela

First Class MEng Aerospace Engineering graduate at the University of Bristol (July 2026). Experienced in developing machine learning, optimisation frameworks and predictive modelling solutions using Python, Tensorflow, Scikit-learn and SQL. Delivered risk, operations and data-driven optimisation projects in collaboration with Airbus, Thales Alenia Space and the University of Bristol.

Built machine learning solutions on datasets exceeding 670,000 observations, achieving up to 93% predictive accuracy. Eager to leverage this background to drive efficiencies and cultivate deep expertise within the data analytics sector.

Aerodynamics Team Lead at Hypower Bristol (2024-10 – 2025-10)

• Led a multidisciplinary team of 10 student engineers developing aerodynamic systems for rocketry competitions
• Performed simulation-based data analysis to optimise drag, stability and braking performance
• Secured sponsorship funding through industry engagement

Thermal-Aerodynamicist Intern at Thales Alenia Space (2024-06 – 2024-08)

• Analysed simulation datasets supporting thermal-aerodynamic optimisation of spacecraft components
• Automated analysis workflows and communicated results within multidisciplinary teams

Tutoring — Mathematics, Further Mathematics, Physics, Biology, History at Self-employed (2024-05 – 2025-05)

• IGCSE (Biology, History) and A-Level (Further Mathematics, Physics) tutoring to a special-needs student

MEng in Aerospace Engineering – University of Bristol (2022-09 – 2026-07)

A-Levels – The New School Rome (2020-09 – 2022-06)