Isabella Vendetti

Isabella Vendetti

Product Supply And Manufacturing Engineer @ Procter & Gamble

About Isabella Vendetti

Isabella Vendetti is a Product Supply and Manufacturing Engineer at Procter & Gamble with a background in chemical engineering and diverse project experience.

Current Role at Procter & Gamble

Isabella Vendetti is currently employed at Procter & Gamble as a Product Supply and Manufacturing Engineer. She began her tenure with the company in 2021. Her role is based in Tablers Station, West Virginia, United States, where she focuses on optimizing and overseeing manufacturing processes.

Previous Experience at L'Oréal

In 2020, Isabella Vendetti worked at L'Oréal as an Operations Extern for 2 months. During her brief tenure, she gained valuable insights into the cosmetics industry, reinforcing her strong interest in cosmetics. This role likely involved supporting operational activities and understanding the supply chain logistics of beauty products.

Internship at Nucor Steel Berkeley

Isabella Vendetti served as a Melt Shop Metallurgy Intern at Nucor Steel Berkeley in 2018 for 3 months. Located in Berkeley County, South Carolina, this internship provided her with hands-on experience in the steel manufacturing sector, where she contributed to metallurgical processes and quality control.

Academic Background in Chemical Engineering

Isabella Vendetti holds a Master's degree in Chemical Engineering from Carnegie Mellon University, obtained between 2020 and 2021. Additionally, she earned a Bachelor of Science in Chemical Engineering from Imperial College London from 2018 to 2019, and another Bachelor's of Science in Chemical Engineering from Carnegie Mellon University from 2016 to 2020. Her robust academic background has equipped her with a comprehensive understanding of chemical engineering principles.

Research and Project Involvement

During her academic tenure, Isabella Vendetti worked as an Undergraduate Researcher at Carnegie Mellon University from 2017 to 2019. She has also been involved in projects related to machine learning applications within chemical engineering and medical devices. These experiences showcase her technical skills and versatility in applying engineering principles to diverse fields.

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