Elliot Djabnaor

Supply chain and operations management professional with 5+ years of experience in logistics, analytics, lean management, and warehouse operations. Proficient in data analytics, Six Sigma, Python, Power BI, and WMS, with a focus on optimizing processes, reducing costs, and improving efficiency. Skilled in integrating data insights with business strategy to enhance operations and profitability.

GRADUATE PROJECT – CUSTOMER PRICING CLASSIFICATION Jan 2024 - May 2024 

North Dakota State University | Border State Electric 

• Developed and implemented a machine learning-based customer classification model analyzing 50,000+ transaction records, achieving 85% prediction accuracy for optimal pricing recommendations 

• Engineered data processing pipelines in Python using scikit-learn and pandas, incorporating 15+ customer behavior metrics to enable dynamic pricing strategies 

• Conducted extensive exploratory data analysis on historical pricing data, identifying key patterns across 8 customer segments and 5 major product categories 

• Designed and implemented A/B testing methodology to validate pricing recommendations, resulting in successful pilot program across 3 regional markets 

• Created interactive dashboards using Power BI to visualize customer segments and pricing insights, enabling stakeholders to make data-driven pricing decisions 

 TEAM LEAD – MANUFACTURING OPERATIONS Jun 2024 - Present 

Case New Holland Industrial Fargo, ND 

• Spearheaded a cross-functional manufacturing team in achieving production targets while ensuring ISO compliance, implementing data-driven process improvements that increased overall output by 15% 

• Engineered workflow optimization through SAP implementation and inventory control systems, reducing production downtime by 20% and excess stock by 25% while eliminating material shortages 

• Architected comprehensive real-time monitoring dashboards utilizing Power BI and QlikView, conducting root cause analysis through SQL queries to identify and resolve critical production bottlenecks 

• Established and documented standardized operating procedures (SOPs) across multiple production lines, significantly reducing process variations and strengthening cross-shift team alignment 

• Developed and executed comprehensive training programs focused on process improvement methodologies and safety protocols, resulting in measurable increases in team productivity and workplace safety metrics 

SENIOR OPERATIONS ANALYST June 2022 – May 2024 

North Dakota State University Fargo, ND 

• Spearheaded comprehensive analysis of manufacturing and logistics workflows across multiple facilities, successfully implementing optimization strategies that reduced average process completion time from 6 days to 4 days 

• Engineered enterprise-wide reporting solutions using Power BI, Tableau, and QlikView, consolidating 20+ manual reports into automated interactive dashboards for real-time performance monitoring 

• Leveraged SQL and Python for advanced data analysis, developing predictive models that identified and resolved operational bottlenecks across 8 production lines 

• Implemented lean manufacturing principles and Six Sigma methodologies, reducing average equipment downtime from 4 hours to 1 hour per shift 

• Led a cross-functional initiative spanning manufacturing, supply chain, and logistics teams to optimize fleet operations, resulting in monthly fuel savings of $25,000 through improved routing strategies 

DEPUTY TRANSPORT MANAGER Jun 2016 - May 2022 

Bollore Transport & Logistics Accra, Ghana 

• Directed transportation operations for a fleet of 75+ vehicles across West Africa, implementing route optimization strategies that reduced average delivery times from 5 days to 3 days 

• Engineered comprehensive performance monitoring systems using Tableau and Excel, consolidating daily fleet metrics into automated dashboards that reduced reporting time from 4 hours to 1 hour 

• Developed and implemented a data-driven routing system managing over 200 weekly deliveries, resulting in annual fuel savings of $180,000 

• Oversaw fleet safety and compliance programs for 120+ drivers, maintaining zero major safety incidents through systematic training and monitoring protocols 

• Led strategic logistics optimization initiatives across 3 distribution centers, improving delivery reliability from missing 45 deliveries monthly to achieving 98% on-time performance 

 Master of Science: Business Analytics, North Dakota State University