Gaurav Asati
About Gaurav Asati
Gaurav Asati is a Supply Chain Network Design Analyst at General Mills in Bombay, Maharashtra, India, with experience in data analysis and leadership roles.
Current Role at General Mills
Gaurav Asati is currently working at General Mills as a Supply Chain Network Design Analyst. He started in this role in July 2019 and is based in Bombay, Maharashtra, India. His responsibilities involve optimizing the supply chain network to ensure efficiency and effectiveness in operations.
Data Analyst Internship at Tata Steel
Gaurav Asati is also working as a Data Analyst Intern at Tata Steel. His role involves analyzing data to support decision-making processes within the company. This internship provides him with practical experience in handling data and applying analytical techniques.
M.Tech in Industrial Engineering and Management
Gaurav Asati is currently pursuing a Master of Technology in Industrial Engineering and Management at the Indian Institute of Technology, Kharagpur. This academic pursuit complements his professional roles by providing him with advanced knowledge and skills in industrial engineering and management.
Vice President Education at VGSOM IIT Kharagpur Toastmasters Club
From 2017 to 2018, Gaurav Asati served as the Vice President Education at VGSOM IIT Kharagpur Toastmasters Club. This leadership position involved coordinating educational programs and supporting members in their communication and leadership development.
Internship at VE Commercial Vehicles Limited
In 2016, Gaurav Asati interned at VE Commercial Vehicles Limited, a joint venture between Volvo Group and Eicher Motors. This two-month internship provided him with hands-on experience in a commercial vehicle manufacturing environment.
Educational Background at IIT Kharagpur
Gaurav Asati completed his Master of Technology at the Indian Institute of Technology, Kharagpur from 2017 to 2019. His academic focus was on Industrial Engineering and Management, which has been instrumental in shaping his expertise in supply chain network design and data analysis.