• Extracted and analyzed large datasets from ERP/MRP to identify trends and areas for optimization within the supply chain, such as inventory management anddemand forecasting.• Developed Power BI dashboards and reports for KPI tracking, inventory management, and demand forecasting, enabling data-driven decisions.• Optimized inventory processes and minimized carrying costs through in-depth analysis of inventory levels, stock movements, and lead times.• Conducted supplier performance evaluations and led initiatives to enhance forecast accuracy, reduce lead times, and bolster supply chain resilience by 20%.• Achieved a 10% reduction in supply chain costs through data analysis and process optimization while maintaining service levels.• Utilized Jira for project management, tracking tasks, and collaborating with cross-functional teams on various data analysis and process optimization projects.• Collaborated cross-functionally with sales, purchasing, inventory, and finance department to ensure seamless coordination and alignment of business objectives.

• Developed Comprehensive training modules using Blackboard Learn for new students, reducing orientation session duration by 37minutes• Led six campus wide events using Google slides presentations, tripling engagement.• Negotiated with Local business vendors to sponsor student events, generating $2800 in sponsorship revenue. • Implemented 67 Google forms surveys to gather feedback on course content, boosting satisfaction.• Strong understanding of the subject being taught, often in the GTA's specific area of study or research.• Ability to explain complex concepts in a way that undergraduate students can easily understand.• Confidence in answering questions and guiding students through challenging material.• Clear and concise verbal communication for presenting lessons, answering questions, and leading discussions

• Identified inconsistencies and inaccuracies in product data, leading to data integrity issues.• Enhanced Product Information Management (PIM) and Master Data Management (MDM) processes, ensuring accurate supply chain data representation.• Developed automated workflows in Alteryx to harmonize data from multiple sources, enabling real-time reporting and analysis.• Managed procurement processes, including purchase orders, supplier selection, and contract negotiation and management, ensuring policy compliance and risk minimization, while optimizing inventory levels and maintaining strong vendor relationships for timely product availability.• Facilitated the implementation of strategy by leveraging spend analytics, market intelligence, and enhancing procurement processes and tools continuously.• Managed the Request for Proposal (RFP) process and General Rate Adjustment (GRA) process, coordinating with carriers and internal stakeholders.• Utilized JD Edwards (JDE) to streamline supply chain processes, optimizing order management and inventory control, resulting in a 15% reduction in lead times.• Led end-to-end production and buying processes and commercial negotiation, including demand forecasting, material procurement, and inventory management, ensuring optimal stock levels and on-time production schedules, which increased manufacturing efficiency by 15% and reduced production costs by 10%.• Coordinated internal and pilot batch requests, ensuring accurate Bills of Materials (BOM) to optimize production schedules and maintain operational efficiency.

• Managed extended lead time components, tracked inventory adjustments, and used advanced analytics for strategic inventory planning, optimizing levels and decision-making. Developed and implemented comprehensive inventory control strategies, including Kanban, Just in Time, VMI and PFEP.• Managed excess and obsolete inventory, resolved non-conforming material issues, and collaborated on safety stock and minimum order quantities with manufacturing. Leveraged ERP like SAP systems and o9 to streamline supply chain processes and enhance operational efficiency.• Implemented Lean Six Sigma methodologies, resulting in a 10% reduction in operational waste and 8% improvement in overall supply chain efficiency.• Utilized Tableau to analyze logistics data, optimize supply chain operations, Optimize Routing and track key supply chain KPIs through dashboards, resulting in a 20% increase in on-time delivery performance.• Improved forecast accuracy by 25%, reduced stockouts, and analyzed pricing programs for profitability optimization in transportation.• Utilized Warehouse Management Systems to streamline inventory tracking, achieving 30% improvement in order accuracy and increase in warehouse efficiency.• Led an ad-hoc project with 3PLs to optimize warehousing and distribution processes resulting in a 25% improvement in order fulfillment rates.• Facilitated cross-functional connectivity within monthly Sales & Operations Execution (S&OE) and Sales & Operation Planning (S&OP meetings) to achieve alignment on the consensus forecast, documented and published forecast rationale, and identified risks and opportunities.

• Utilized Python, including libraries like Pandas, NumPy, and Matplotlib, for data analysis tasks, including manipulation, cleaning, and visualization.• Implemented SQL queries and data cleansing techniques to rectify data discrepancies, resulting in a 20% improvement in data accuracy.• Collected and processed data from various sources such as APIs, databases, and web scraping, ensuring data accuracy and reliability for forecasting analysis.• Using sales data and trends to predict future material needs and creating strategic plans to meet material needs, including during peak and slow periods • Applied statistical techniques and machine learning algorithms such as Time Series Forecasting, Random Forest, Decision Tree, ARIMA, K-means clustering, Regression, Naive Bayes to analyze data trends, detect patterns, and develop predictive models for demand forecasting.• Conducted A/B testing to evaluate the impact of different strategies on demand forecasting accuracy and performed ABC analysis of SKUs to evaluate output.• Implemented demand planning strategies and KPI tracking mechanisms, reducing stockouts by 25% and optimizing inventory management and SIOP.