Mahshad Kadkhodazade

Predictive Modeling Intern @Henkel

Düsseldorf, DE

Developing data-driven simulations, experimental validation, and Finite Emelemt Analysis, building foundations for predictive modeling of mechanical component performance in packaging applications.• data-driven decision-making by identifying performance-critical features and design parameters based on a structured approach to data collection and analysis in simulation and experimental contexts by systematic evaluation of component performance under different conditions.• Performing FEA simulations in 3D Experience Platform (Dassault Systèmes) on complex bottle geometries by preparing simulation-ready geometries, creating meshing strategies, and defining boundary conditions, applying engineering judgment to capture physical phenomena accurately in computational models.• Validating simulation results by comparing FEA outputs with experimental lab tests ensuring model reliability and robustness for design optimization by engineering experimentation and validation.

Politecnico di Milano

Master's degree

Iran University of Science and Technology

Bachelor's degree

National Organization for Development of Exceptional Talents (Sampad)

Diploma degree