1) Optimized inventory management by implementing demand forecasting models, reducing dead stock by 12% and improving stock turnover using data analysis techniques in Python.2) Led a Kaizen event that identified process inefficiencies in the supply chain, driving a 10% reduction in operational costs by streamlining workflows and reducing waste.3) Applied Lean Six Sigma methodologies in inventory control, resulting in a 15% improvement in inventory accuracy and a 20% reduction in stock discrepancies.4) Designed and developed data visualizations in Tableau, providing real-time insights into inventory levels, demand forecasts, and supplier performance, contributing to a 5% cost savings through improved decision-making.5) Conducted root cause analysis on recurring logistics challenges, implementing solutions that decreased shipping delays by 15% and enhanced overall supply chain efficiency.6) Trained and mentored junior team members on supply planning best practices and company policies.