In my previous role, I encountered a simulation that was producing inconsistent results. After reviewing the code and input parameters, I identified a bug in the algorithm that was causing the discrepancies. I collaborated with the development team to fix the issue, which improved the accuracy of the simulation. This experience taught me the importance of meticulous debugging and cross-team collaboration in resolving complex technical problems.

I prioritize tasks based on deadlines, project scope, and client needs. For instance, if a project has a tight deadline, I allocate more time to it while ensuring other projects remain on track. I also communicate with stakeholders to understand their priorities and adjust my schedule accordingly. Using project management tools helps me visualize deadlines and allocate resources effectively.

I am proficient in MATLAB, Python, and ANSYS for simulation tasks. MATLAB is my go-to for mathematical modeling and data analysis, while Python is ideal for scripting and automation. ANSYS is my preferred tool for finite element analysis and structural simulations. I also have experience with version control systems like Git to manage simulation code efficiently.

I ensure accuracy by validating simulation inputs, reviewing the model's assumptions, and cross-checking results with theoretical predictions or experimental data. I also perform sensitivity analyses to understand how changes in parameters affect outcomes. Regular peer reviews and documentation of processes further enhance the reliability of simulation results.

In my previous role, I optimized a simulation that was running too slowly by identifying and reducing redundant calculations. I also implemented parallel processing techniques using Python's multiprocessing module, which significantly reduced runtime. Additionally, I worked with the IT team to allocate more computational resources, further improving performance. These efforts resulted in a 40% reduction in simulation time.