Matlab
Eme Sunday
South shields
Summary
Mechanical Systems & Digital Twin Engineer specialising in physics-based modelling, data-driven analysis, and process optimisation. Experienced in developing computational models, integrating sensor data, and applying machine learning techniques to predict and improve system performance. Strong background in ANSYS, MATLAB, and Python, with proven ability to translate physical processes into robust digital representations for simulation, validation, and optimisation. Combines industrial engineering experience with applied research capability to deliver scalable, real-world solutions aligned with predictive maintenance and smart manufacturing objectives.
Overview
12
12
years of professional experience
2
2
Certifications
Work History
Mechanical Engineering Product Design Lecturer
Newcastle College
09.2022 - Current
- Operate at the interface of engineering education and computational modelling, developing structured digital workflows that mirror research-grade simulation environments.
- Key responsibilities include:
- Develop and deliver applied engineering content integrating simulation, data analysis, and system modelling
- Design structured workflows combining CAD, simulation outputs, and datasets to support reproducible engineering analysis
- Guide learners in applying computational methods to predict system behaviour prior to physical implementation
- Collaborate with industry partners (Shepherd Offshore, WD Close, Endiprev) to align engineering solutions with real-world applications
- Key accomplishments:
- Established modelling-first engineering approaches aligned with digital twin principles
- Improved engagement with simulation-driven engineering and data-informed decision-making
Mechanical Engineer Project Manager
National Institute of Construction Technology and Management
09.2016 - 08.2021
- Led multidisciplinary engineering projects using quantitative analysis and performance data to drive optimisation, effectively building integrated engineering information systems.
- Key Responsibilities included:
- Led multiple engineering projects from concept through to completion using data-driven decision frameworks
- Applied performance metrics, root-cause analysis, and system evaluation to improve efficiency and reduce operational waste
- Developed structured engineering workflows integrating cost, performance, and operational data
- Implemented quality assurance processes to improve reliability and consistency of deliverables
- Key Accomplishments:
- Delivered 5+ projects on time and within budget
- Achieved measurable cost reductions through optimisation strategies
- Improved operational performance through structured process evaluation
Junior Mechanical Design Engineer
Innoson Vehicle Manufacturing
02.2014 - 08.2016
- Worked directly with computational modelling, sensor integration, and automated data analysis, forming the strongest alignment with research-software development.
- Key responsibilities included:
- Modelled thermal-fluid systems using CFD to predict system performance under varying operating conditions
- Developed Python scripts to automate experimental data analysis, reducing manual processing time by ~60%
- Applied signal processing and Kalman filtering techniques for sensor data fusion and noise reduction
- Used simulation outputs to support predictive engineering decisions and performance optimisation
- Key accomplishments:
- Enabled faster validation cycles through automated evaluation workflows.
- Supported predictive engineering decisions using computational analysis rather than trial-and-error.
Education
Mechanical Engineering - Major Mechatronics MSC
Newcastle University
Newcastle, United Kingdom08-2022
Mechanical Engineering - BEng
Caritas University
Enugu, Nigeria08-2013
Skills
Modelling & Simulation:ANSYS (Fluent, Mechanical), MATLAB/Simulink, CFD, FEA, system dynamics, vibration analysis
Data & Machine Learning:Python (NumPy, Pandas, Scikit-learn), regression models, classification, time-series analysis, model evaluation (R², MSE, accuracy), signal processing, Kalman filtering
Digital Twin & Systems Engineering:Physics-based modelling, data-driven modelling, sensor data integration, predictive maintenance frameworks, system optimisation, virtual prototyping
Manufacturing & Process Optimisation:Process analysis, performance evaluation, root-cause analysis, continuous improvement, cost optimisation, quality assurance
Software & Tools:SolidWorks, Autodesk Inventor, AutoCAD, Excel, technical reporting
Software
Autodesk inventor
Solidworks
ANSYS
Excel
Python
Certification
IBM Data Analytics Professional Certificate
Timeline
Mechanical Engineering Product Design Lecturer
Newcastle College
09.2022 - Current
Mechanical Engineer Project Manager
National Institute of Construction Technology and Management
09.2016 - 08.2021
Junior Mechanical Design Engineer
Innoson Vehicle Manufacturing
02.2014 - 08.2016
Mechanical Engineering - BEng
Caritas University
Mechanical Engineering - Major Mechatronics MSC
Newcastle University