Mutturaj Uppaladinni
About Mutturaj Uppaladinni
Mutturaj Uppaladinni is a Manager in Product Line Engineering and Design at Faurecia, where he has worked since 2021. He has extensive experience in design engineering, data analysis, and product development, with a background that includes roles at TCS e-Serve International Ltd., CSM Software, and Faurecia.
Current Role at Faurecia
Mutturaj Uppaladinni serves as the Manager of Product Line Engineering and Design at Faurecia. He has held this position since 2021 and is based in Bangalore Urban, Karnataka, India. In this role, he oversees various aspects of product line engineering and design, ensuring that projects meet both technical and business requirements.
Previous Experience at Faurecia
Prior to his current role, Mutturaj Uppaladinni worked at Faurecia in several capacities. He was a Deputy Manager - Design from 2019 to 2021 and served as a Group Leader Design from 2017 to 2019. Additionally, he worked as a Senior Team Leader from 2013 to 2017. His experience at Faurecia spans a total of six years, during which he contributed to various design and engineering projects.
Professional Background
Mutturaj Uppaladinni began his career at TCS e-Serve International Ltd. as an Assistant System Engineer from 2007 to 2008. He then transitioned to CSM Software, where he worked as a Project Lead from 2008 to 2013. His diverse background includes experience in product design, particularly with materials such as sheet metal, casting, and plastics.
Education and Certifications
Mutturaj Uppaladinni completed his education at sgsdj high school and bvvs polytechnic bagalkot. He is certified as a Six Sigma Green Belt and has expertise in emission control design and development. His technical skills include proficiency in design engineering software such as Catia, NX, and Ideas, as well as statistical programming tools like Python, R, Minitab, and IBM SPSS Statistics.
Technical Skills and Expertise
Mutturaj Uppaladinni possesses strong technical skills in data analysis using statistical methodologies and tools. He has hands-on experience with data visualization tools like Tableau and is experienced in applying machine learning algorithms, including linear and logistic regression, decision trees, and random forests. He is also familiar with GD&T, stack-up analysis, and design review and release models/drawings.