Alexandros P.

I am a Mechanical Engineering graduate with hands-on experience in automotive engineering and data analysis. During my time as a member of a Formula Student team, I played a key role in the design and optimization of critical vehicle components, gaining valuable technical and project management skills.

Intake System Designer (1st Year): I was responsible for designing the intake system of the race car, utilizing CAD tools for 3D modeling and performing Computational Fluid Dynamics (CFD) simulations to optimize air flow and improve engine performance.

Engine and Drivetrain Lead (2nd Year): In my second year, I took charge of the engine and drivetrain systems, managing the design, integration, and testing of the powertrain. I coordinated with various sub-teams to ensure optimal vehicle performance, while overseeing engine calibration and drivetrain efficiency.

Additionally, I have developed proficiency in Python and Data Science, which I apply to engineering problems through data-driven analysis, automation, and predictive modeling. My skills include:

Data analysis and visualization (Pandas, NumPy, Matplotlib)
Machine learning and statistical modeling (Scikit-learn, TensorFlow)
Technical simulations and optimization
I'm eager to leverage my engineering and programming expertise to tackle complex challenges, whether in the fields of automotive, product development, or data analytics.