
Timeline
About me
FE Analyst Automotive |NVH|Durability|
Education
Srushti pu science college dharwad
2015 - 2017Pcmb science 74Jagadguru tontdary cbse school gajendragada
2010 - 20157th standard to 10th standard 7.6M. s. ramaiah university of applied sciences
2022 - 2023Master of technology - mtech automotive engineering technology/technician 9.0Visvesvaraya technological university
2017 - 2021Be - bachelor of engineering mechanical engineering 7.61
Experience
Mark technologies midc pune
Jul 2019 - Aug 2019Internship traineeOn Injection Molding
Siemens
Jan 2020 - Feb 2020Internship trainingInternship training
L&t technology services
Jan 2023 - Jul 2023Intern-Experienced in FE model building activities for Automotive Interior Experience (CPM/IP) and Electronics, Horizontal display, Engine key switch, Engine mount brackets, Instrument panel and also Meter Console.-Model preparation activities such as, connections, contacts, Penetration and Intersection checks, material and properties assigning for solver deck.-Post processing and Documentation for CAE model test results.
L&t technology services
Sept 2023 - nowCae analystPerformed Structural analysis like Impact, Modal, Strength and Rigidity and Vibration analysis for Automotive Interior (CPM/IP) and Electronics (Instrument cluster Assembly)at both component level (Such as Pcb, Display, connectors,Dial,Panel, Glove Box, Insulation Sheet, etc) and assembly level(CPM/IP,Meter Console, Horizontal Display, BMS, etc).
Licenses & Certifications
- View certificate
Digital marketing
Google digital garage - View certificate
Lean six sigma white belt certified - v4.0
Management and strategy institute - View certificate
Lean six sigma white belt certified - v4.0
Management and strategy instituteJul 2020 - View certificate
Industrial robotics
Siemens technology indiaJan 2020 - View certificate
Operational excellence foundations
LinkedinSept 2021 - View certificate
Self driving cars
University of torontoJul 2021 - View certificate
Injection molding
Mark technologies puneAug 2019 Plc
Siemens logisticsMachine learning for all
University of london
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