BHABANTI PAUL
Bangalore
Summary
Accomplished CAE Analyst with 5.5 years of experience at Mercedes-Benz R&D India, specializing in chassis system simulation and optimization. Known for strong ownership, solution-oriented execution, and impactful contributions across high-stakes global vehicle programs. Recognized for aligning simulation with real-world test data, driving component-level design enhancements, and introducing automation in model build processes.
Overview
6
6
years of professional experience
Work History
Mercedes-Benz R&D India
Bangalore
09.2020 - 06.2025
- Led Federlenker optimization in BR297 that successfully addressed both performance and durability targets.
- Resolved cradle failures from two different suppliers in BR254 and BR206 through critical chassis redesign and simulation-based validation.
- Consistently contributed to simulation–test correlation efforts, most recently in the C590 rear axle project, enhancing credibility and accuracy in predictive analysis.
- Key programs handled: BR222, BR232, BR297, BR254, BR206, C590, X591, V530.
- Championed automation and model quality improvements, significantly reducing build timelines and enhancing team productivity.
Graduate Engineer Trainee
Mercedes-Benz R&D
Bangalore
08.2019 - 09.2020
- Designed CAD parts using Siemens NX, such as small consoles and brackets, with a focus on appropriate joining techniques and material selection relevant to crash performance and corrosion resistance
Education
M.S. - Data Science and Business Analytics
Northwestern University
USA, Illinois09-2026
B.Tech - Mechanical Engineering
BMS College of Engineering
India, Bangalore06-2019
Skills
- LS-DYNA
- ANSA
- MIDAS
- Siemens NX
- Linux Scripting
- JASS
- Shell Scripting
- Python
- Excel
- Git
- Predictive modeling
- Data analysis
- Computer-aided engineering
Accomplishments
- Received CEO-level recognition for contributions to BR254 chassis development, which was also published in a German automotive journal.
- Represented MBRDI in Germany, where efforts in model–test correlation, process clarification, and model build automation directly improved simulation quality and efficiency.
- Awarded the department-level Bronze Award for accurately predicting bolt behavior, demonstrating strong correlation with physical test results
Languages
Bengali
First Language
English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
German
Beginner (A1)
A1
References
References available upon request.
Timeline
Mercedes-Benz R&D India
09.2020 - 06.2025
Graduate Engineer Trainee
Mercedes-Benz R&D
08.2019 - 09.2020
M.S. - Data Science and Business Analytics
Northwestern University
B.Tech - Mechanical Engineering
BMS College of Engineering
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