Deepak Jeganathan
London,UK
Summary
Highly motivated MSc Mechatronics Engineer with an MSc in Data Science, blending robotics expertise with strong analytical skills. Proven experience in robot design and development (ROS), gained through projects with JLR and ZF. Strong leadership and communication honed through university roles.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Mechatronics Internship
Jaguar Land Rover
Glasgow, Scotland
01.2021 - 09.2021
- Implemented an in-house solution to reduce vehicle tag errors
- Used frugal hardware (Arduino and RFID Reader) to make a prototype for 'Pokayoke' which was later implemented on the shop floor in JLR
- Saved 100s of vehicle rejection due to the wrong tag being placed on the chassis
Robotics Engineer Intern
ZF Group
Chennai, India
08.2019 - 09.2019
- Developed 6-axis SCARA robot (Python/C++) with team, improving shop floor safety and reducing costs.
- Delivered project on time and within budget, exceeding performance targets.
Education
MSc - Data Science
Kingston University London
London, England 01.2024 -
MSc - Mechatronics and Automation
University of Strathclyde
Glasgow, Scotland 09.2020 - 08.2021
BEng - Mechanical Engineering with Automotive Design
Brunel University
London, England 09.2017 - 08.2020
Skills
- Ansys Products
- Machine Learning and Artificial Intelligence
- AutoCAD
- MatLAB
- Structured Query Language (SQL)
- SolidWorks
- Creo parametric
- R Studio
- C
- Python
- Robotic Operating System (ROS)
- Git
- Microsoft Office 365
- Linux
- Windows
- Mac
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Certification
- Machine Learning and Data Science Hands-on with Python and R, 01/01/21
- Raspberry Pi Workshop, Become a Coder / Maker / Inventor, 07/01/22
Projects
Collision-Tolerant Drone (University of Strathclyde, 2021):Designed and developed a drone with real-time collision avoidance using computer vision (OpenCV, TensorFlow) and ROS. Implemented custom hardware and software, validated through extensive flight testing.
Skills: ROS, Python, Machine Learning, Hardware Integration, Flight Testing
Blood Flow Analysis via Fluid Dynamics & AI: Developed a model combining fluid dynamics simulations with artificial intelligence to analyse and predict blood flow patterns. Utilized machine learning algorithms, deep learning to extract insights from simulation data.
Skills: Fluid Dynamics, AI/Machine Learning, Data Analysis, Modelling, Simulation.
Timeline
MSc - Data Science
Kingston University London
01.2024 -
Mechatronics Internship
Jaguar Land Rover
01.2021 - 09.2021
MSc - Mechatronics and Automation
University of Strathclyde
09.2020 - 08.2021
Robotics Engineer Intern
ZF Group
08.2019 - 09.2019
BEng - Mechanical Engineering with Automotive Design
Brunel University
09.2017 - 08.2020
- Machine Learning and Data Science Hands-on with Python and R, 01/01/21
- Raspberry Pi Workshop, Become a Coder / Maker / Inventor, 07/01/22
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