Coal Quality Planner Supervisor
Current• Applied quantitative RCA techniques (Statistical Inference, Data Mining, Explainable AI, Causal Reasoning) to enforce targeted corrective actions aimed at addressing operational inefficiencies• Deployed end to end machine learning solution (Data Collection, Data Cleaning, Data Modeling, Application Deployment) for predicting final laboratory result, resulting enhancement in quality accuracy for multiple finished products• Supervised in-depth data analysis, modeling, and visualization utilizing various Python programming packages to provide actionable insights of process failure investigation, contributing to zero quality rejection of 50-million-ton sales per annum• Led multiple projects involving cross-functional teams to implement CRISP-DM framework and DMAIC methodology, providing more distinct objective in process cycle times, accuracy enhancement, environmental benefit, cost savings, and risk reduction.• Acted as SAP ERP data migration team leader (Production Planning and Quality Management Modules) interfacing multiple web-based applications of mining supply chain activities