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Fast Integrated Services (Facility management company) [Full-Time]
Electromechanical | Automation Engineer
▪ Designing & programming of a Building management system BMS
▪ Troubleshooting and Maintenance of Honeywell controllers
▪ Preparing the Inspection Reports and Technical reports for the equipment’s.
SOMOCER Group (Ceramic manufacturer)
Graduate Engineering Trainee
▪ Built and performed Predictive Maintenance using Artificial Intelligence algorithm on
equipment’s to predict Time-To-Failure (TTF), sensors data acquisition
▪ Developed machine learning models, Cost benefit analysis
BCM manufacturing (Building material manufacturer)
Trainee Electrical Engineering Project
▪ Developed IOT industrial water consumption monitoring system
▪ Installed control & monitor electric panels
▪ Designed a GUI, Developed historical data base
As a passionate Electromechanical Engineer naturally driven toward research & innovation, my
eagerness about control & automation pushes me into mastering cutting edge technologies. my
graduation project was a" Study of Machine Learning approach for Predictive Maintenance in
industry 4.0" . in addition, i am skilled in design and program BMS, PLC ,SCADA HMI systems.
I have also worked on applications of computer vision, IOT , and Robotics.
I am convinced that I would be a valuable asset to your team.
Mohsen SADOK
Electromechanical Engineer
Phone: (+974) 6653 9342
Email: sadokmohsen@gmail.com
PROFESSIONAL EXPERIENCE
Polytechnic School of engineering - University Central , Tunisia
Bachelor of Engineering in Electromechanics , Option : Production & Process Control
Higher Institute of Technological Studies of RADES , Tunisia
Licence Degree (roughly equivalent to a Bachelor's degree)
In Electronics & Electrical Engineering , Option: Process Automation and Industrial IT
EDUCATION
Doha, Qatar
Monastir, Tunisia
Mohsen Sadok
2016 To 2019
2013 To 2016
From 11/ 2019
To present
From 01/2019 To
06/ 2019
From 06/2018 To
09/ 2018
Monastir, Tunisia
AI
pg. 2/3
1. Implement Machine Learning for Predictive Maintenance in industry 4.0
B.Eng. Graduate Project , From 01/2019 to 06/2019
▪ Built and Developed Machine Learning models to predict Remaining Useful Life (RUL) of in-service
equipment in order to minimizing the number and cost of unscheduled machine failures.
▪ used technology: Python, Machine Learning, Deep Learning
▪ Project Link
2. Realisation of an Industrial Water Consumption Monitoring System
BCM manufacturing Trainee Project , From 06/2018 to 09/2018
▪ Achievement of an industrial water usage monitoring system to control the wastage of water by means of
water flow meters that collects raw signals and transmits data to LabVIEW dashboard.
▪ Project Link
3. Developed autonomous driving system algorithm
Academic Research , From 09/2017 to 04/2018
▪ Development of a self-driving car algorithm using NI LabView and machine vision.
▪ Demonstration video link
4. Designed and implemented SCADA HMI system for industrial application
Bachelor’s degree Graduate Project, From 01/2016 to 06/2016
▪ Development and implementation of a SCADA system and a Mobile Application that aims to controlling a
particular manufacturing process, handling the alarm, accessing historical data and monitoring energy
consumption in a Ceramic Tiles Plant.
▪ Used Technology: LabVIEW, OPC Server, Siemens PLC, Android
▪ Project link
5. Built a 3D animation of a manufacturing process
Automation Trainee Project , From 01/2016 to 03/2016
▪ Built & performed a 3D simulation of virtual manufacturing process using a selection of common industrial
parts and use it together with Siemens PLC.
▪ Project link
6. Created a Patient Data Management System for Hospital and Clinic Management
Freelance Project , 2017
▪ Development of A platform that summarizes all essential information per patient for doctors.
▪ It provides current diagnoses, visit information, current medication and vital parameters using LabView
Database.
▪ Project link
7. Research and Development of a Portable Dialysis Machine for use by renal disease sufferers
Academic Research , From 03/2018 to present
▪ A study of a portable and low-cost dialysis system that could help millions of kidney disease patients.
▪ This project still under research since 2018.
PROJECTS & RESEARCHES
SOTEMAIL Ceramics
Engineering intern
▪ Programmed and implemented of a SCADA HMI system of a manufacturing process.
▪ Created data base for historical data & alarm
▪ Designed an HMI for monitoring energy consumption
From 01/2016 To
06/ 2016
Mahdia, Tunisia
pg. 3/3
S o f t w a r e S k i l l s
Machine learning sklearn keras TensorFlow
Programming Python LabVIEW Embedded C/C++ VHDL
Automation TIA Portal Factory I/O Automation Studio
CAD AutoCAD CATIA SolidWorks
Other tools Altium designer MATLAB Microsoft Office Linux
A d d i t i o n a l S k i l l s
S t a n d a r d s & Q u a l i t y t o o l s
▪ Project management
▪ Biomedical equipment knowledge
▪ Technical Documentation
▪ Deep learning (Andrew Ng), issued 2019
▪ SolidWorks Associate (CSWA), issued May 2018
▪ IBM Data Science Professional Certification (coursera.com) , issued 2019
▪ Research and Development
▪ Priority & Emergency Management
▪ Safety and QA
▪ Qualified to the finals of Data Science Hackathon by lnstaDeep - RNN modelling 2019
▪ 2st Place in a Start-up competition in Tunisia by Columbia University - Smart Glasses 2018
▪ Team Leader Tesla Club - Self-Driving Car 2017
LANGUAGES
CERTIFICATION
S
SKILLS
Ishikawa diagram, 5s lean manufacturing, Pareto, PDCA , ISO
LEADERSHIP ACTIVITIES
Further INFORMATION
It’s NOT Faith in Technology. It’s Faith In PEOPLE.
STEVE JOBS
▪ English — Professional working proficiency
▪ French — Professional working proficiency
▪ Arabic — Native language

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RESUME Mohsen SADOK Engineer

  • 1. pg. 1/3 Fast Integrated Services (Facility management company) [Full-Time] Electromechanical | Automation Engineer ▪ Designing & programming of a Building management system BMS ▪ Troubleshooting and Maintenance of Honeywell controllers ▪ Preparing the Inspection Reports and Technical reports for the equipment’s. SOMOCER Group (Ceramic manufacturer) Graduate Engineering Trainee ▪ Built and performed Predictive Maintenance using Artificial Intelligence algorithm on equipment’s to predict Time-To-Failure (TTF), sensors data acquisition ▪ Developed machine learning models, Cost benefit analysis BCM manufacturing (Building material manufacturer) Trainee Electrical Engineering Project ▪ Developed IOT industrial water consumption monitoring system ▪ Installed control & monitor electric panels ▪ Designed a GUI, Developed historical data base As a passionate Electromechanical Engineer naturally driven toward research & innovation, my eagerness about control & automation pushes me into mastering cutting edge technologies. my graduation project was a" Study of Machine Learning approach for Predictive Maintenance in industry 4.0" . in addition, i am skilled in design and program BMS, PLC ,SCADA HMI systems. I have also worked on applications of computer vision, IOT , and Robotics. I am convinced that I would be a valuable asset to your team. Mohsen SADOK Electromechanical Engineer Phone: (+974) 6653 9342 Email: sadokmohsen@gmail.com PROFESSIONAL EXPERIENCE Polytechnic School of engineering - University Central , Tunisia Bachelor of Engineering in Electromechanics , Option : Production & Process Control Higher Institute of Technological Studies of RADES , Tunisia Licence Degree (roughly equivalent to a Bachelor's degree) In Electronics & Electrical Engineering , Option: Process Automation and Industrial IT EDUCATION Doha, Qatar Monastir, Tunisia Mohsen Sadok 2016 To 2019 2013 To 2016 From 11/ 2019 To present From 01/2019 To 06/ 2019 From 06/2018 To 09/ 2018 Monastir, Tunisia AI
  • 2. pg. 2/3 1. Implement Machine Learning for Predictive Maintenance in industry 4.0 B.Eng. Graduate Project , From 01/2019 to 06/2019 ▪ Built and Developed Machine Learning models to predict Remaining Useful Life (RUL) of in-service equipment in order to minimizing the number and cost of unscheduled machine failures. ▪ used technology: Python, Machine Learning, Deep Learning ▪ Project Link 2. Realisation of an Industrial Water Consumption Monitoring System BCM manufacturing Trainee Project , From 06/2018 to 09/2018 ▪ Achievement of an industrial water usage monitoring system to control the wastage of water by means of water flow meters that collects raw signals and transmits data to LabVIEW dashboard. ▪ Project Link 3. Developed autonomous driving system algorithm Academic Research , From 09/2017 to 04/2018 ▪ Development of a self-driving car algorithm using NI LabView and machine vision. ▪ Demonstration video link 4. Designed and implemented SCADA HMI system for industrial application Bachelor’s degree Graduate Project, From 01/2016 to 06/2016 ▪ Development and implementation of a SCADA system and a Mobile Application that aims to controlling a particular manufacturing process, handling the alarm, accessing historical data and monitoring energy consumption in a Ceramic Tiles Plant. ▪ Used Technology: LabVIEW, OPC Server, Siemens PLC, Android ▪ Project link 5. Built a 3D animation of a manufacturing process Automation Trainee Project , From 01/2016 to 03/2016 ▪ Built & performed a 3D simulation of virtual manufacturing process using a selection of common industrial parts and use it together with Siemens PLC. ▪ Project link 6. Created a Patient Data Management System for Hospital and Clinic Management Freelance Project , 2017 ▪ Development of A platform that summarizes all essential information per patient for doctors. ▪ It provides current diagnoses, visit information, current medication and vital parameters using LabView Database. ▪ Project link 7. Research and Development of a Portable Dialysis Machine for use by renal disease sufferers Academic Research , From 03/2018 to present ▪ A study of a portable and low-cost dialysis system that could help millions of kidney disease patients. ▪ This project still under research since 2018. PROJECTS & RESEARCHES SOTEMAIL Ceramics Engineering intern ▪ Programmed and implemented of a SCADA HMI system of a manufacturing process. ▪ Created data base for historical data & alarm ▪ Designed an HMI for monitoring energy consumption From 01/2016 To 06/ 2016 Mahdia, Tunisia
  • 3. pg. 3/3 S o f t w a r e S k i l l s Machine learning sklearn keras TensorFlow Programming Python LabVIEW Embedded C/C++ VHDL Automation TIA Portal Factory I/O Automation Studio CAD AutoCAD CATIA SolidWorks Other tools Altium designer MATLAB Microsoft Office Linux A d d i t i o n a l S k i l l s S t a n d a r d s & Q u a l i t y t o o l s ▪ Project management ▪ Biomedical equipment knowledge ▪ Technical Documentation ▪ Deep learning (Andrew Ng), issued 2019 ▪ SolidWorks Associate (CSWA), issued May 2018 ▪ IBM Data Science Professional Certification (coursera.com) , issued 2019 ▪ Research and Development ▪ Priority & Emergency Management ▪ Safety and QA ▪ Qualified to the finals of Data Science Hackathon by lnstaDeep - RNN modelling 2019 ▪ 2st Place in a Start-up competition in Tunisia by Columbia University - Smart Glasses 2018 ▪ Team Leader Tesla Club - Self-Driving Car 2017 LANGUAGES CERTIFICATION S SKILLS Ishikawa diagram, 5s lean manufacturing, Pareto, PDCA , ISO LEADERSHIP ACTIVITIES Further INFORMATION It’s NOT Faith in Technology. It’s Faith In PEOPLE. STEVE JOBS ▪ English — Professional working proficiency ▪ French — Professional working proficiency ▪ Arabic — Native language