Jun 2022 – Present · 4 yrs · Hybrid

• 1. Collected and analysed project KPIs from ERP systems and databases, translated them into actionable insights, and built predictive models to optimize project execution, resulting a 15% increase in project efficiency and reducing schedule overruns by 10%, directly aligning operational outcomes with business goals.
• 2. Conducted in-depth data analysis and visualization using Power BI, Excel, and SQL to monitor key performance metrics including fleet utilization, maintenance turnaround time (MTTR), fuel consumption, and operational costs. This improved operational transparency and increased plant lifecycle by 3%.
• 3. Integrated IoT solutions for predictive maintenance and condition monitoring, increasing equipment availability from 96.5% to 99.27%.
• 4. Developed and implemented data-driven procurement forecasting models using time-series analysis, reducing emergency orders and cutting procurement lead times by 60%.
• 5. Collaborated with cross-functional teams and designed an interactive web portal for negotiate with global logistic supplier & contracts , achieving a 10% reduction in Logistics costs through strategic demand management.
• 6. Utilized machine learning and analytics techniques to enhance strategic decision-making and streamline project execution workflows.
• 7. Prepared and presented detailed analytics and dashboards to senior management, supporting evidence-based business decisions and continuous process improvement

Jun 2012 – May 2022 · 9 yrs 11 mos · Hybrid

• 1. Strategically led end-to-end project planning, consistently delivering challenging tasks within budget and timeframes, resulting in a 15% increase in project efficiency and a 10% decrease in schedule overruns, which had a direct impact on business objectives.
• 2. Implemented data-driven strategies for asset and material management, reducing costs by streamlining procurement and inventory processes enabling better decision making at senior management levels.
• 3. Implemented Digital stores and forecasted spare part demand using time-series analysis and reducing emergency orders.
• 4. Collaborated with stakeholders to design and deliver analytics-driven project management frameworks.