Sahil Jain
About Sahil Jain
Sahil Jain is an Assistant Manager in SC Analytics - Demand at General Mills in Mumbai, India, with a background in supply chain management and analytics.
Company
Sahil Jain is currently working as an Assistant Manager in Supply Chain Analytics for Demand at General Mills. His role is based in Mumbai, Maharashtra, India. He has been with General Mills in this position after having previously served as a Consultant in the same department.
Previous Roles
Sahil Jain brings a diverse range of experience from multiple roles at noteworthy companies. Prior to his current position at General Mills, he served as an Analytics Advisory Specialist at Accenture in Bengaluru. His experience also spans several roles at Bharat Petroleum Corporation Limited, including Assistant Manager and Management Trainee/Executive, across various locations in India.
Education and Expertise
Sahil Jain holds a degree in Mechanical Engineering (B.Tech.) from the National Institute of Technology, Patna. He pursued further education at the S.P. Jain Institute of Management & Research, earning a PGPM in Supply Chain and Operations. Additionally, he studied Integrated Supply Chain Management at Michigan State University’s Eli Broad College of Business. His academic background has equipped him with a robust understanding of logistics, materials, and supply chain management.
Technical Skills and Tools Proficiency
Sahil has a strong command of various analytical tools and programming languages including Python, R, Power BI, DAX, SQL, Tableau, Power Query, and SPSS. His technical proficiency extends to the SAP-MM Module and advanced Excel functionalities. These skills have enabled him to create AI and analytics-based products aimed at enhancing customer engagement and optimizing procurement processes.
Process Improvement and Analytics
He has significant experience in process improvement and enhancing supply chain functions using advanced analytics. His work often involves leveraging data analytics to drive business process excellence. Sahil's approach integrates interdisciplinary fields such as statistics, engineering, behavioral sciences, and quantitative analysis to improve operational efficiency.