Bantu Phiri
Johannesburg
Summary
Recent Industrial Engineering graduate from the University of Pretoria with strong academic and practical experience in simulation modelling, data analysis, and process optimisation, particularly within mining and industrial systems. Proficient in Python, R Studio, SQL, MineTwin, and Microsoft Excel, with experience cleaning, structuring, and analysing operational data to support simulation studies and data-driven decision-making. Completed final year project with distinction, focused on the simulation-based evaluation of autonomous versus manned underground haulage systems, demonstrating a 69% increase in simulated production throughput. Analytical, detail-oriented, and well-prepared for graduate engineering, mining, and data-focused roles within dynamic, performance-driven organisations.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Industrial Engineering Intern – Simulation & Modelling
Amalgama
05.2025 - 12.2025
- Developed and analysed MineTwin simulation models for underground mining haulage systems under a formal non-disclosure agreement.
- Performed data cleaning, validation, and structuring of mining operational datasets for use as simulation inputs.
- Conducted scenario analysis to evaluate productivity, cycle times, congestion, delays, and resource utilisation.
- Supported bottleneck identification and throughput optimisation using simulation outputs and performance metrics.
- Authored and maintained technical documentation and user tutorials, improving internal understanding and consistent use of MineTwin.
- Collaborated with multidisciplinary engineering teams to translate simulation results into practical, data-driven recommendations.
Education
Bachelor of Engineering - Industrial Engineering
University of Pretoria
01-2025
National Senior Certificate - undefined
Sheikh Anta Diop College
01-2019
Skills
- Programming & Data Analytics
- Python, R Studio, SQL, MATLAB
- Simulation & Modelling
- MineTwin, AnyLogic, FlexSim, Discrete Event Simulation, Scenario Analysis
- Data & Visualisation Tools
- Microsoft Excel (PivotTables, Power Query, Data Analysis), Power BI, Tableau
- Industrial Engineering Methods
- Lean Six Sigma, DMAIC, Kaizen, Queuing Theory, Time & Motion Studies, Root Cause Analysis, Process Mapping
- Engineering & Enterprise Software
- AutoCAD, SolidWorks, SAP, MS Project
- Project & Work Methods
- Agile Fundamentals, Gantt Charts, Technical Documentation, Stakeholder Communication
- Work measurement
- Process flow analysis
- Production planning
- Data analytics
- Capacity planning
- Manufacturing engineering
- Facility layout
- Simulation modeling
- Time studies
- 5S methodology
- Quality inspection
- Quality management
- Time management
- Problem-solving
- Teamwork and collaboration
- Continuous improvement
- Cost-saving methods
- Written communication
- Operations planning
Accomplishments
- Member – AI Literacy Society, University of Pretoria
- UP Open Day Volunteer – Student Recruitment & Support
- Community Tutor – Academic Improvement Initiatives
- Active Contributor in Engineering and Academic Project Teams
Interests
Data cleaning, analysis, and simulation modelling within mining and industrial systems; mining optimisation and industrial automation; continuous learning, self-development, and community education initiatives
Certification
- Intermediate R Studio Course – Certificate
- UP Short Course: Introduction to Simulation Modelling (2024)
- LinkedIn Learning: Data Analytics, SQL Foundations, Project Management
- ZEISS MOW217 eLearning – Practical Training Certificate
Community Service
University of Pretoria, Tutor & Mentor – Community-Based Project, 2022-07, 2022-11, Delivered structured tutoring in Mathematics and Physical Sciences to Grade 10 learners from under-resourced communities., Developed personalised lesson plans and monitored learner progress through regular assessments., Achieved a 100% pass rate, with measurable improvement in learner confidence and academic performance., Strengthened communication, leadership, and mentorship skills through continuous learner engagement.
KEY COMPETENCIES
- Analytical & Data-Driven Thinking
- Simulation Modelling & Performance Evaluation
- Mining Systems & Haulage Optimisation
- Structured Problem Solving
- Technical Reporting & Presentation
- Team Collaboration & Cross-Functional Engagement
- Confidentiality & Professional Integrity
- Graduate Readiness & Continuous Learning
Timeline
Industrial Engineering Intern – Simulation & Modelling
Amalgama
05.2025 - 12.2025
National Senior Certificate - undefined
Sheikh Anta Diop College
Bachelor of Engineering - Industrial Engineering
University of Pretoria