Data Science TeamOur team of highly skilled data scientists are passionate about turning data into actionable information to create sustainable business benefit.
Head of Data Science
Expertise: BS Mathematics and Economics, London School of Economics, MSc Computational Statistics and Machine Learning, University College London. Python, C++, C, MATLAB, R, SQL, Machine Learning, Statistics, Computational Mathematics, Signal Processing, Database Architecture.
Raza’s education has given him a strong mathematical underpinning and a solid understanding of the statistical sciences. Furthermore, his time at LSE and his interest in economics allows him to quickly understand the economic environment which our clients operate in as well as the business implication of the solutions we provide. Raza has worked on various Machine learning projects including bioinformatics, automated lung cancer detection via MRI, statistical financial analysis, reinforcement learning and robotics.
Python Solutions Architect
Expertise: BS Computer Science, Worcester Polytechnic Institute, MSc Machine Learning, University College London. Machine learning, computer vision, audio and signal processing, Python, Java, MatLab, C, SQL.
Doruk graduated from Worcester Polytechnic Institute with a bachelor’s degree in computer science. During his undergraduate studies, he developed a strong background in software engineering, internet measurement, and computer networks. His undergraduate thesis about ad-blockers lead to a joint paper with his supervisor and was published in a conference in Washington DC in 2016. Having developed an interest in artificial intelligence and machine learning, he attended University College London directly after his undergraduate studies and obtained a master’s degree in Machine Learning in 2017. Having worked on projects in areas ranging from bioinformatics to automatic audio classification, he is able to utilise machine learning to tackle any kind of problem.
Expertise: The University of Edinburgh: BSc Computer Science & Artificial Intelligence, MRes Neuroinformatics
Aistis graduated from the University of Edinburgh in 2011 with a degree in Computer Science and Artificial Intelligence. For the following 5 years, he completed his post-graduate training, researching mathematical (inverse Reinforcement Learning and Bayesian) models of brain disorders. In 2016 he moved into industry, joining Green Running as part of the Data Science team working on predictive modelling within energy applications.
Expertise: BEng Electrical and Electronic Engineering, Northumbria University, PhD Electrical Engineering, Imperial College London
Cong graduated from Northumbria University in 2012 with a 1st class honours in Electrical and Electronic Engineering. She completed a PhD in control theory with the control and power research group at Imperial College London in 2017. She has 4+ years’ experience in optimisation algorithm, robust control and mathematical modelling and 1 year’s industrial experience in developing machine learning solutions for real-life problems.
Interested in joining the team?
We are passionate about developing our team and helping them reach the highest certified level of their specialist area, to provide you with the assurance that our team really know their stuff.
We actively share best practice within the team and always keep up to date on the latest LabVIEW developments, and collaborate internally to develop frameworks and tools to assist the LabVIEW community.
We have a huge amount of skill across many programming languages within the team. We choose LabVIEW because of its graphical interface, which makes it easier and quicker to build functionality and therefore better value for our clients.
Quality & Service
Our core values as a company are Customer Happiness, Service, Quality and Reputation. We pride ourselves on our reputation within the industry, and this is down to our successful project and satisfied customers.
Recent Blog Posts
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A new era of mobility is upon us. Critical technology trends in autonomous driving, electrification, and vehicle communication are bringing with them new test challenges and pressures beyond the here and now. This quickly evolving technology landscape increases the...read more
Broadcast as part of the National Instruments' Test the Vehicles of Tomorrow webinar series, in this video, we discuss the use and benefits of simulation and model-based test early in the automotive design cycle. We look at case studies including...read more
We are delighted to reveal that Austin Consultants has become the latest Tier 2 members of University of Sheffield The Advanced Manufacturing Research Centre (AMRC); a world-class centre for industry-focused research and development of technologies...read more
Get In Touch.
If you are interested in working together, send us an inquiry and we will get back to you as soon as we can.