Chirag Lodaya is a skilled Data Scientist currently contributing to Essor since June 2024, focusing on the development and optimization of supply chain components, particularly in Supply Planning, while enhancing methodologies and creating data-driven visualizations and reports. Previously, Chirag served as Data Scientist-II at antuit.ai, where predictive modeling informed AI-powered SaaS solutions for the CPG and retail sectors. Earlier experience includes a role as a Data Scientist at Dozee, specializing in statistical and predictive modeling for health monitoring devices, and a Technical Solutions Engineer Associate position at Akamai Technologies, focusing on troubleshooting Content Delivery Network issues. Chirag holds a Post Graduate Program degree in Artificial Intelligence, Machine Learning & Data Science from Texas McCombs School of Business and a Bachelor of Engineering in Electronics and Communication Engineering, along with an Undergraduate Program in Computer Science from KLE Technological University.