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Pradyumn C.
Global rank:
7,115 / 134,163
Skill pts: 6
ansys fluent ansys mechanical Ansys Workbench Hypermesh LS DYNA
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Portfolio

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pradyumnc
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Bi_directional_Wind_Tunnel

Experience

  • Simulation Egineer CADFEM · Full-time Aug 2023 – May 2025 1 yrs 9 mos Hyderabad, TS, India • Hands on experience with static structural simulations using ANSYS Mechanical
    • Worked on Impact tests (drop tests) for home appliances using Hypermesh 2024.1
    • Enhanced meshing efficiency over time, making the process faster and more reliable.
    • Prepared material cards for LS-DYNA solvers based on stress-strain curves provided by clients.
    • Handled the complete simulation workflow, including shell meshing, Solid Meshing, 3D volume generation, packaging, material data preparation, model setup, solving, and debugging
    • Working on updating legacy meshes and files, saving time and improving project efficiency
    • Analyzed simulation results through post-processing and presented clear reports to Clients, helping them make better decisions

Education

  • Viit college of information technology pune BTech, Mechacnical Engineering, 8.76 2019 – 2023

Other experience

  • Occupancy Prediction Using Machine Learning Methods Built a machine learning model to predict building occupancy using environmental and sensor data.
    Organization: University of Western, London On, Canada
  • Investigation of Non-Linear Damping in a Simple Mass-Spring System Used experimental data to observe system behavior and validate simulation outcomes. Solved differential equations using numerical methods and Python.
    Conducted CFD simulations to predict drag forces and analyze turbulence effects. Research paper publication in progress.
    Organization: Vishwakarma Institute of Information Technology (VIIT), Pune
  • Integrated Approach for Geometric and Kinematic Design of Centrifugal Compressor Impellers Developed an analytical design methodology to determine impeller parameters and validated findings using CFD with the SST k-ω model.
    Published in Progress in Computational Fluid Dynamics.
    Company: KIRLOSKAR PNEUMATIC CO LTD, Pune
Stats

Joined: August 15, 2024

Last seen: November 4, 2025

Area of Expertise
Aerospace Engineering Mechanical Engineering 2D to 3D Conversion Services FEA Finite Element Analysis Computational Fluid Dynamics 2D CAD Design Services 2D to 3D Modeling Python Developers Machine Learning (ML) Engineers

Languages

English Professional working proficiency

Location

Mumbai, India

Mumbai, India