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Data Science Team

Our team of highly skilled data scientists are passionate about turning data into actionable information to create sustainable business benefit.
RAZA RIZVI

RAZA RIZVI

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.

DORUK UZUNOGLU

DORUK UZUNOGLU

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.

 

Aistis Stankevicius

Aistis Stankevicius

Data Scientist

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.

Cong Zhang

Cong Zhang

Data Scientist

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?

Certified LabVIEW Architects

Certified

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.

Innovation in LabVIEW

Innovative Ideas

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.

LabVIEW Technology

Advanced Technology

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.

LabVIEW Quality and Service

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

Learn from the top thought leaders in the industry.

Come and say hello at Smart Factory Expo

It's still not too late for tickets Digital Manufacturing Week 2018, 14-15November in Liverpool.  Come along to stand P43 and talk to our data science team about data insight, automation, condition monitoring and prognostics. We look forward to seeing you there....

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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.