About Me

3 minute read

Data Science Researcher/Robotics Engineer at ASDA,
Loughborough University.


Introduction


Experienced using:

Languages Data Science Big Data
R                             Power BI                             AWS                            
C/C++ Google Data Studeo GCP
Python PyTorch Big-Query
SQL Scikit-Learn Hadoop
NoSQL Open CV Kubernetes
  • 4 years in Data Science, Machine Learning and Deep Learning.
  • 7 years in Control Systems, and Academic Research.
  • 10 years in Automotive Systems Engineering.

  • I love exploring data and uncovering hidden meaning and fallacies, and developing new algorithms to automate solutions to complex problems in code.

  • I’m currently developing robots that can reason about the complex manipulation dynamics of deformable objects using active compliance, model predictive control and deep reinforcement learning.

  • Developed mathematical models of complex systems such as contact dynamics for deformable objects.

  • Built various machine/deep learning models for a range of tasks.

  • Improved recurrent neural-network performance by developing new data batching techniques.

  • Developed various novel robot controllers using machine learning and deep learning.

  • Previously managed engineering teams and projects.

  • Experienced in designing and developing mechanical, electrical and software products.

Education


Doctor of Philosophy - PhD Robotics and Machine Learning
Loughborough University
Loughborough, Leicestershire
2017 – 2021

BSc Electrical and Electronics Engineering, 2:1
Loughborough College of Engineering
Loughborough, Leicestershire
2014 – 2017

HNC Electrical and Electronics Engineering, Merit
West Nottinghamshire College
Mansfield, Nottinghamshire 2012 - 2014

BTEC level 3 Automotive Engineering Apprenticeship
Ford Motor Company
Sep 1998 - Jun 2002

Advanced Vehicle Test driver
Horiba Mira
Nov 2013

Experience


Data Science/Robotics Engineer
Intelligent Automation
Leicestershire
Oct 2017 – Present

Currently developing novel solutions for complex real-world robotic manipulation problems.

Tasks include:

  • Collect, clean and validate real-world sensor data.

  • Develop mathematical models of complex systems.

  • Design and train machine/deep learning models such as recurrent neural networks (LSTMs) to predict such things as robot manipulation forces on deformable objects, and reinforcement learning agents that learn to control robots.

  • Design and implement sensor networking infrastructure using the Robot Operating System (ROS).

  • Design and execution of experiments.

Teaching Assistant
Loughborough University
Leicestershire
Oct 2013 – Present

TA for:

  • Object Orientated Programming
  • Thermodynamics MSc
  • Automotive Engineering/Combustion Chemistry

Research Engineering Technician
Loughborough University
Leicestershire
Sep 2013 – Oct 2017

  • Developed mechanical, electrical and software systems for data acquisition and control of experiments within the Engines and Powertrains Research Facility.
  • Developed algorithms for autonomous engine control.
  • Responsible for the collection, analysis and reporting of experimental results data.
  • Assist and teach PhD students practical engineering skills. (welding, machining)

Senior Engineer progressing to Engineering Manager
Linde Materials Handling
United Kingdom
Feb 2010 – Sep 2013

  • Engineering Manager - responsible for the maintenance of all electromechanical/mechatronics systems, liaison between different engineering/management groups, auditing and recording systems data and KPIs, produce reports.

  • Developed software systems using MS excel and MS access - to better facilitate the collection, reporting and querying of systems data.
  • Used data to identify the root causes of high expenditure as well as opportunities for company growth.
  • Developed machine learning/predictive models to forecast potential system failures and optimise maintenance schedules.

Automotive Systems Engineer
Jaguar Land Rover
Derby Oct 2005 - Feb 2010

  • Responsible for diagnosing complex faults on electrical and mechanical systems.
  • Collected historical fault data and used it to increase fault diagnostic efficiency.
  • Installed electrical systems.

Vehicle Technician
Ford Motor Company
Nottingham Jun 2002 - Oct 2005

  • Diagnose and remedy any and all faults on vehicle systems.

Licenses & Certifications


LinkedIn Machine Learning Assessment
Score: Top 5% of 197k people
See LinkedIn Profile

LinkedIn Python Assessment
Score: Top 15% of 1.1M people
See LinkedIn Profile

Data Science Math Skills
Coursera
Issued date Nov 2020 - No Expiration Date
See credential

GCP - How Google Does Machine Learning
Coursera
Issued date Oct 2020 - No Expiration Date
See credential

SQL Fundamentals
SoloLearn
Issued date Jul 2019 - No Expiration Date
See credential

Python3
SoloLearn
Issued date Nov 2019 - No Expiration Date
See credential

Python
TestDome
Issued date Sep 2020 - No Expiration Date
See credential

Advanced Predictive Modeling: Mastering Ensembles and Metamodeling
LinkedIn
Issued date Aug 2020 - No Expiration Date

PyTorch Essential Training: Deep Learning
LinkedIn
Issued date Jul 2020 - No Expiration Date

Amazon Web Services Machine Learning Essential Training
LinkedIn
Issued date Aug 2020 - No Expiration Date

Learning Go
LinkedIn
Issued date Aug 2020 - No Expiration Date

Python Statistics Essential Training
LinkedIn
Issued date Aug 2020 - No Expiration Date

Data Science & Analytics Career Paths & Certifications: First Steps
LinkedIn
Issued date Mar 2020 - No Expiration Date

Programming Foundations: Version Control with Git
LinkedIn
Issued date Jul 2020 - No Expiration Date