Dr Kehinde Owoeye

Dr Kehinde Owoeye

Senior Data Scientist

Tell us about yourself

I am a Senior Data Scientist at TÜV SÜD National Engineering Laboratory, currently working on developing condition-based monitoring tools for several applications in the oil and gas industry and more recently, developing data driven solutions for clients in other industries such as manufacturing, life sciences and healthcare. Previously, I completed a PhD in computer science at University College London building machine learning models to solve a wide range of problems in behaviour modelling and sustainability. I also obtained a bachelor’s degree in electrical & electronics engineering and a master’s degree in telecommunication electronics from the University of Ado-Ekiti and the University of Glasgow respectively.

Why did you choose to apply to TÜV SÜD?

I joined TÜV SÜD in 2022 because I wanted to continue working on sensor data mainly from IoT devices by building intelligent sensing systems, an interest I developed during my PhD program at UCL.

Where do you work?

I am based at the East Kilbride office but work from home.

What are your main areas of expertise?

• Broad domain of machine learning
• Machine learning for mining sensor data from IoT devices
• Computational sustainability
• Privacy and cybersecurity
• Natural language processing (NLP)

What does your role involve?

It is a data science consultancy role - I use data driven methods to solve a wide variety of problems revolving around forecasting, anomaly detection, asset management (for instance in the prediction of remaining useful life), building digital twins of devices among other broad machine learning and data science applications. I have worked with clients in multiple sectors, including energy, life sciences, healthcare, and manufacturing.

What most excites you about your role?

What excites me most is the wide range of projects on offer at TÜV SÜD in the digital space. The highlight so far has been the development of an algorithm for identifying incorrectly fitted orifice plates, a common problem in the oil and gas industry. In the coming months, there are even more interesting projects starting in the A4I programme where I will be working with several companies in the UK to solve a variety of problems affecting their products and processes.

What exciting developments have you seen at TÜV SÜD since you started?

The organisation is starting to understand the importance of data driven methods and has started investing in this area mainly in the form of new people joining our Digital Services team with diverse skills and experiences as well as new hardware to crunch the datasets for several modelling tasks.

What future trends do you see developing in your area of work?

Increase in the adoption of data science for solving a wide variety of problems in the oil and gas industry and beyond.

What is your biggest challenge?

Keeping up with all the advances happening every day in the field of artificial intelligence.

What do you see as the top perk of working for TÜV SÜD?

The opportunity to work on a variety of interesting and real-world projects.

How have TÜV SÜD supported you?

TÜV SÜD have been very supportive since I joined. I have received training in flow measurement to help be better understand this core area of our business. I have also been provided with the appropriate computer power to perform data modelling and analysis efficiently.

Describe your fellow workers in five words

Collaborative, supportive, smart, hardworking, creative.

What advice would you give to anyone thinking of applying for a role similar to yours?

Be ready to use your skills to solve real world problems with real world impact.

Find out more about how our digital services which include computational fluid dynamics (CFD) can save your business time and money.