Everjoice Moyo

Dedicated Continuous Improvement Specialist with 5+ years of hands-on experience applying Lean, Six Sigma, and industrial engineering principles across mining, logistics, FMCG, and manufacturing sectors. Proven ability to identify inefficiencies, lead root cause analysis, develop SOPs, and implement sustainable process improvements that drive measurable cost savings and productivity gains. Combines strong analytical capability — including advanced Power BI and data modelling — with practical shop floor experience and cross-functional stakeholder management.

Currently pursuing an Advanced Diploma in Industrial Engineering (UNISA).

Continuous Improvement Practitioner (Business Practitioner) - Barloworld Equipment

(2023-09)

• Coached and guided 23 teams across IT and Human Resources departments on continuous improvement methodologies, embedding a culture of operational excellence
• Applied 5 Whys and Pareto analysis to identify root causes of recurring operational issues, prioritising solutions by impact and feasibility
• Developed, cleaned, and managed large datasets for the Business Excellence department, ensuring data integrity underpinning all CI initiatives
• Designed and published Power BI dashboards providing real-time visibility into team performance, enabling faster and more accurate decision-making
• Facilitated cross-functional stakeholder engagement sessions to drive process alignment and sustain improvement initiatives across departments
• Drove organisation-wide implementation of best practices, contributing to measurable gains in efficiency and team productivity

Logistics & Production Business Analyst - BME (Bulk Mining Explosives)

(2022-02 - 2022-12)

• Conducted time and motion studies on truck loading schedules, identifying bottlenecks and recommending scheduling improvements to reduce standing time and diversion costs
• Built Power BI data models analysing underloading costs, transporter loads, and route efficiency across 52 mining sites — driving significant cost-saving recommendations
• Identified and implemented route optimisation strategies, reducing transportation losses and improving fleet utilisation
• Managed end-to-end international client project (Canada) including budgeting, demand forecasting, product design, and continuous improvement planning
• Supported Supply Chain Network Design and Optimisation initiatives to reduce total delivered cost
• Delivered monthly performance reports to 52 site managers, increasing operational transparency and accountability

Business Analyst / Data Capture - RCL Foods Speciality Division

(2020-08 - 2021-06)

• Monitored and analysed monthly production KPIs including output, waste, and rework — identifying inefficiencies and recommending corrective actions
• Conducted new product trial runs to determine production capacity, waste factors, and process feasibility ahead of commercial launch
• Compiled CAPEX motivations for equipment investment (Cake Slicer, Label Printer), reducing manual labour and increasing production output
• Tracked daily production plans against demand forecasts to optimise inventory levels and minimise waste
• Solved recurring waste issues by analysing machine breakdowns, product failures, and recipe inconsistencies

Industrial Engineering Intern - Assa Abloy

(2019-01 - 2019-12)

• Conducted time studies to determine process costs, identify bottleneck stations, and support labour allocation decisions
• Performed BOM audits comparing actual vs. theoretical material usage, rectifying discrepancies to reduce waste and improve accuracy
• Created and maintained Standard Operating Procedures (SOPs) to standardise processes, eliminate workplace injuries, and sustain quality improvements
• Led ergonomics and capability studies to improve workplace design and operator efficiency
• Coordinated the launch of the Assa Abloy Black Range Series — developed process SOPs, costed the product, and allocated labour requirements

Advanced Diploma - Industrial Engineering - UNISA

National Diploma - Industrial Engineering - University of Johannesburg (2020)

Certificate - Artificial Intelligence - University of Johannesburg (2021)

Advanced Diploma - Principles of Industrial Engineering - Alison Online (2022)