Application of Machine Learning for Manufacturing Defect Identification and Classification
Phone: +44 (0) 7570200029
International Manufacturing Centre, WMG
University of Warwick, Coventry, CV4 7AL, United Kingdom
Sumit is a doctoral student with research interests in machine learning and statistical modelling in context of In-Process Quality Control. His doctoral research focusses on application of machine learning models in multi-station assembly systems to identify and classify defects for Root Cause Analysis (RCA). He obtained his Bachelor’s Degree in Industrial and Systems Engineering from Indian Institute of Technology (IIT) Kharagpur (2012-2016).
CORPORATE & RESEARCH EXPERIENCE
He has worked as a Business Analyst at ZS Associates where he used machine learning models to solve problems in the pharmaceutical sales and marketing domain. Previously he worked briefly as a Research Assistant at the University of Hong Kong to develop a multi-variate time-series model for risk minimization in the retail industry. He also worked briefly at the Chongqing University (China) to build a dynamic warehouse space pricing model using artificial neural networks.
As a student of IIT Kharagpur he worked on various real world projects. He worked to build a forecasting model for the Reserve Bank of India. The developed forecast model helped in forecasting currency demand across the nation. He worked with the Orissa State Medical Corporation to build a supply chain model for drug demand prediction and distribution. As his bachelor’s project he worked on building resilient supply chains using stochastic search heuristics.