Tejas Gujar

Tejas Gujar has a robust background in planning, analytics, and data science, currently working at Kering since April 2021. Prior experience includes a machine learning project at WealthTechs Inc., focusing on data normalization and validation, as well as leading an analytics project at Morgan Stanley that developed an AI system for portfolio managers. Tejas co-founded the Waste Traceability Project under the Columbia Lab-to-Market Accelerator Network, successfully securing funding and conducting extensive stakeholder interviews. Additional roles include a DataOps researcher at Zocdoc and a research associate at Vishwakarma Institute of Technology, where data analysis on human energy consumption was performed. Tejas holds a Master's degree in Operations Research from Columbia University and multiple degrees in Industrial Engineering.