Utkarsh Mittal is an Artificial intelligence manager at Gap Inc., a global retail company, has more than ten years of practice experience in machine learning automation and is a leader of big AI-based database projects. Utkarsh did his Master’s in Industrial Engineering with a Supply Chain and Operations Research major at Oklahoma State University, USA. He is closely associated with research groups and editorial boards of high-profile International Journals, and research organizations, and is passionate about solving complex business challenges and encouraging innovation through upcoming technologies.
Utkarsh Mittal is an accomplished professional in the realm of Big Data, AI, and Machine Learning. His commitment to promoting data democracy and fostering data-centric decision-making is evident in his work. Mr. Mittal is adept at leveraging advanced AI and machine learning methods and cutting-edge technologies to convert complex data sets into understandable insights, driving informed decision-making and sparking innovation within the organization.
As a manager of machine learning and automation at Gap Inc., Mr. Mittal has led and implemented several machine learning and AI-related projects, contributing to substantial financial growth for the company. His leadership in projects like Market Basket Analysis, Direct Mail Optimization, and Customer Voice. He also led MLOPS initiatives such as model monitoring and drift measurement, driving productivity and efficiency.
In his previous role as a Data Science Manager, Mr. Mittal spearheaded two major projects related to Supply Chain Optimization and Inventory Optimization, driving significant cost reductions across different echelons of the network.
Outside of his professional accomplishments, Mr. Mittal actively participates in research. His paper, 'Detecting Hate Speech Utilizing Deep Convolutional Network and Transformer Models,' was accepted at the IEEE conference, Elexcom. Additionally, his research on predicting downtime and repair time for General Motors, titled 'Dynamics and Performance Modeling of Multi-Stage Manufacturing Systems using Nonlinear Stochastic Differential Equation Models,' was published in an IEEE conference[1]. His dedication and contributions to the field have earned him multiple top achiever awards.