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Project Overview Category Details Industry Oil & Gas Terminal Operations Project Type Predictive Maintenance & Cost Forecasting Duration 36-Month Historical Analysis + 12-Month Forecast Data Sources CMMS, SAP ERP, SCADA/PI Historian, ATG, HSE Tools Used Python, Pandas, NumPy, XGBoost, Power BI Objective Forecast maintenance costs and identify major reliability drivers impacting operational expenditure Business Problem…
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Executive Summary The objective of this project was to design and develop a real-time integrated Operational Intelligence Platform for an Oil Storage Terminal by consolidating live and periodic data from five mission-critical systems: SCADA/PI Historian, ATG Metering, CMMS/Maximo, HSE, and SAP ERP. Prior to this initiative, operational, maintenance, safety, inventory, and financial data were fragmented…
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Table of Content Executive Summary A healthcare imaging provider was facing high MRI appointment no-show rates, scanner underutilization, and operational inefficiencies across multiple locations. By combining predictive analytics, operational KPI tracking, and Power BI dashboards, I helped reduce MRI no-shows by 27%, improve scanner utilization from 63% to 81%, and support approximately $1.2M in annual…
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Data analytics for beginners with no tech experience! There’s a quiet shift happening in the job market. You’ve probably seen people moving into tech roles without traditional degrees, landing remote jobs, or talking about “data” like it’s the new gold. And somewhere in the middle of all that noise, you might be wondering: “Can I…