John Mathew is a highly experienced data scientist specializing in advanced analytics, predictive modeling, supply chain optimization, and operations research. With over seven years of experience under his belt, John has developed a diverse skillset in mathematical models essential for predictive and prescriptive analytics, including market basket analysis, time series models, Holt-Winters, decision trees, and random forests, among others.

John's expertise has helped internal and external customers of Caterpillar proactively plan repairs and manage inventory better. His background includes a Master of Science in Operations Management and Game Theory from the Indian Institute of Technology, Madras, and a Bachelor of Technology in Mechanical Engineering from Mahatma Gandhi University.

Previously, John has led a data science team and worked as a senior data scientist at Symphony RetailAI and Zdaly, respectively. Before that, he worked as a researcher and lecturer at Indian Institute of Technology, Madras. John's professional background also includes former positions at Caterpillar, where he worked as a senior information analyst and a Data Scientist II and III. John's game theory expertise, coupled with his statistical modeling and machine learning skills, makes him a valuable asset in his field.