Kalyani Shelat
About Kalyani Shelat
Kalyani Shelat is an Analyst at General Mills in Minneapolis, specializing in demand forecasting and statistical market analysis.
Professional Role at General Mills
Kalyani Shelat currently holds the position of Analyst at General Mills, located in Minneapolis, Minnesota, United States. Her responsibilities include providing location-level demand forecasts for new item launches. She presents recommendations and insights to various teams, including sales, marketing, and demand planning operations. Her work involves leveraging statistical analysis to understand market growth and competitors, focusing on the performance of specific food categories and leading brands.
Past Experience at General Mills
Before her current role, Kalyani Shelat worked at General Mills as an Associate Analyst from 2015 to 2017. During this two-year period in Minneapolis, Minnesota, she refined her analytical skills and laid the groundwork for her current responsibilities as an Analyst. Her experience in this earlier role has contributed to her advanced capabilities in demand forecasting and statistical analysis.
Role at EXL as Lead Assistant Manager
Prior to joining General Mills, Kalyani Shelat served as Lead Assistant Manager at EXL in New York, New York, United States. This role provided her with extensive experience in managing teams, leading projects, and improving business processes. Her tenure at EXL helped shape her analytical and managerial skills, which she continues to leverage in her current role.
Educational Background and Research
Kalyani Shelat completed her Master’s degree in Mathematics from Sardar Vallabhbhai National Institute of Technology, Surat, where she studied from 2010 to 2015. She also attended Aditya Birla Public School from 2005 to 2010. During her academic career, she undertook a significant project in Mathematical Finance at IIM-A, which helped her develop a strong foundation in analytical and quantitative skills.
Specialization and Technical Proficiencies
Kalyani Shelat specializes in forecasting demand for new products using methodologies such as like SKU modeling and KNN models. She has demonstrated her expertise by improving the Mean Absolute Percentage Error (MAPE) by 11% through effective utilization of systems like SAP APO and BEx, and by collaborating with external stakeholders. Her technical skills play a critical role in her ability to conduct in-depth market and competitive analysis.