KRITHIKA SHANKAR

Navigation of Early Warning Signals – Shortage Prediction Model

Python | Machine Learning | Random Forest

• Built a Machine Learning model to predict component shortages 13 weeks in advance, enabling proactive supply planning.
• Automated the prediction pipeline using Python, reducing manual reporting effort by 90%.
• Identified $100M+ in supply risks during the EMEA proof of concept.
• Presented at HPE TechCon 2025; solution progressed to patent filing.

ASK APS – AI Planning Assistant

Python | RAG | Generative AI

• Developed a RAG-powered AI assistant to automate planning support and business process queries.
• Accelerated onboarding by 10×, reducing dependency on manual support.
• Delivered 20% SLA reduction, $25K cost avoidance, and 10,000 hours of operational savings.

SAP Master Data Configuration Automation

Python | SAP S/4HANA | Power Automate | Power Apps

• Automated SAP master data configuration workflows, reducing manual effort and improving process consistency.
• Scaled automation from 5 to 50+ configurations, delivering ~0.7 FTE operational savings.
• Standardized enterprise configuration processes for faster deployments.

CORE – Component Overview & Resource Efficiency Dashboard

Power BI | Business Intelligence

• Developed executive dashboards providing real-time inventory and shortage visibility.
• Enabled data-driven planning decisions through interactive KPI reporting and analytics.
• Delivered $15M in business savings and reduced Mean Waiting Time from 5.5 to 4 days.

• Tableau Dashboards Development
• Worked as part of the international analytics team, building BI dashboards to support global and regional supply chain teams.
• Developed an SPS Audit Dashboard to track compliance across quality and process metrics, improving visibility for audits and corrective actions.
• Created a Daily Labor Productivity Dashboard to monitor shop-floor performance and workforce efficiency across multiple shifts.
• Focused on delivering key supply chain KPIs in a live production environment, enabling data-driven decisions for planning and operational leaders.